Hobbes And Kant s Theory Of Morality - 1447 Words

Hobbes and Kant both give a different account of the foundations of morality. Drawing from Hobbes’ Leviathan and Kant’s Grounding for the Metaphysics of Morals, I will compare their understanding of the foundations of morality. I will discuss the conflicting accounts of the role played by reason versus the role played by desire and inclination in the determination of what is good, evil, right or wrong. Hobbes claims that ordinary experiences establish human beings as self-interested and are driven by desire or aversion and that is why morality is grounded by subjective self-interests. On the other hand, Kant provides a purely rational principle for ordinary views about unconditional moral value, morality has a universal law that applies to all rational beings at all times. The following paper will identify and explain the key points and sources of difference between Hobbes and Kant. First, I will explain both understandings of morality. Second, I will describe how the a ccount of the foundations of morality differs in human nature, rationality and conceptions of morality. I will, in conclusion, argue that Hobbes’ account of morality best works with our ordinary experiences and moral convictions. According to Kant, morality has foundation in legislation by pure reason. Further, morality consists of categorical imperatives that must be obeyed for their own sake, regardless of the consequences. The categorical imperative underpins morality. It is only possible to have a moralShow MoreRelatedMilton Friedman And Richard Freeman Essay932 Words   |  4 Pagesdifference between the two is on the issues of corporation’s responsibilities to the society and the obligations to different groups. To whom does the corporation owe much responsibility? Friedman offers his views based on the shareholders theory. In his theory, he adopts the view that a corporation as an entity is just an artificial person defined under the law, and thus can only have artificial responsibility. His major disagreements are with those who hold the position that corporations have socialRead MoreCategorical Vs. Categorical Imperative1929 Words   |  8 Pagesgood if there is â€Å"a means to do somethin g else†. (Landau-Kant 93) An example of a hypothetical imperative would be to do an action in order to achieve a specific result. On the other hand, if an action itself is considered good and has no reason towards it, then it would be a categorical imperative. A categorical imperative would be doing a specific action because one is told to do so without any desire or happiness as a result. (Landau-Kant 93) In addition, both hypothetical and categorical imperativesRead MorePeace As A Mandatory, A Responsibility, And A Problem Awaiting Solution1469 Words   |  6 Pagesthe freedom that individual possesses, and the potential of a better life for that individual. According to a book written by Immanuel Kant titled Perpetual Peace, the author says that the state of peace is a condition in which there is neither hostility nor dangerousness. I saw this state from an individualistic perspective and I think the human morality that Kant claimed is closely related to one’s free dom. I think even though it is hard to apply these concepts right away in reality, at least theRead MoreThe Philosophy Of Human Nature1534 Words   |  7 Pagesnature. Scientists continued to pursue a biological understanding of the human species, while philosophers began to focus on uncovering the inherent nature of humankind by studying the shared attributes, feelings, and behaviors that humans exhibit. Theories about human nature shape every culture in some way. During the Classical Period in Greece, Plato and Aristotle significantly influenced society’s perception of human nature. Plato suggested that people were rational beings, and connected human natureRead MoreHelping The Community Is A Big Part In How Our World Grows1913 Words   |  8 PagesPutting yourself into your community through volunteer work is something that Aristotle would find necessary in order to be a part of the human world around us. By following through and contributing to your community it would be viewed as acts of morality. Aristotle also claims that all the virtues connected together are called the â€Å"harmony of virtues† ,all of the virtues we adopt help to fulfill our human nature or needs. He believed that humans needed to find a balance between deficiency and excessRead MoreDeterminism of Human Behavior Essay1176 Words   |  5 Pagesangry? Why might we cry when we’re in pain? Why? What motivates us to behave the way we do in the numerous different situations we get ourselves into? Although there are many different answers that people could give us, there are two theories in particular that are highly debated with each other. One argument is that behaviour is determined through free will, known as libertarianism. Free will, by definition, is the notion that we are free to make our own decisions andRead MoreThe Supreme Court Of Virginia3442 Words   |  14 Pagesdistinction between just and unjust is not so clear? What if there are diametrically opposed moral principles supporting competing arguments? On three occasions, the Supreme Court of Virginia has declined ruling on whether the relationship with an assailant s wife deprives a defendant of the right to self-defense. The Supreme Court of Virginia should deny a defendant the right to claim self-defense when the following elements are present: (1) the defendant is charged with murder, (2) the defendant was inRead MoreThe Political Of Political Science Essay2347 Words   |  10 Pagesorigin of political thought in the west and therefore goes back to the Greece.Political science is the study of the state and the government.And political philosophy is considersd to be a sub discipline of political science.However it is a political theory,a discipline which has a closer methodology to the theoretical fields in the social sciences.So,political philosophy is the study of topics such as politics,liberty,justice,rights,property,law and the enforcement of a legal code by authority.(AgarwalRead MoreImmanuel Kants View on Human Nature and the Relationship between Nations2105 Words   |  8 Pagesï » ¿Immanuel Kants View on Human Nature and Relationship between Nations Immanuel Kant (1724 1804) was born in Kaliningrad in East Prussia. Kant spent his working life there and also produced work on various subject matters including ethics metaphysics, epistemology, aesthetics etc. He published his three famous critiques and wrote on religion, eternal peace and politics. All of the above, Kant was the philosopher of human autonomy. He was of the view that human beings can determine and manageRead MoreAn Introduction Of International Relations1702 Words   |  7 Pagesweek to week with new information and new theories presented, researched and analysed along with my increasing knowledge of attributes and models of these principles. I have had assimilations, with the key concepts of nearly all theories, yet none sat wholly in my perception of international relations. I found concepts of the disciplines to be too black and white. International relations is such a complicated study due to the fact, that nearly every theory, thought or notion can be countered by another

The Effects Of Too Much Social Networking - 1818 Words

The Negative Effects of Too Much Social Networking Nowadays people cannot imagine how to catch up with friends and family without the usage of social networking. All around the world, people have the ability to connect with others. Social networking websites allow users to make profiles, upload pictures and videos, play games and chat with other users. In addition, people have the ability to learn about current news and events. It has also served as an effective tool in marketing for many businesses worldwide. Some of the top widely used networking sites include Facebook, Twitter, LinkedIn, and Instagram. While social networking has provided great benefits for users to communicate and interact, it poses some negative effects as well.†¦show more content†¦Problem The relationship between the use of social networking sites and depression may be complex, however; there may be a link. For instance, when people spend long periods of time on social networking, they may be discourage to participate in other activities that pro mote emotional health. Activities involving exercising or meeting with friends and family. Moreover, many adolescents are trying to establish an identity and build self-esteem. These things can be hard to do when it becomes hard to keep up with the lifestyle of others on the media. I have to admit, I have had a mild form of depression when my friend is vacationing in Mexico twice a year I haven’t had a vacation in almost three years. For these reasons, people start to question who they are and where they want to be based on the status of others. Many people will not admit they are depressed because they can’t live up to the friend who is thinner, has more friends, and able to travel the world. This can cause a real threat to the society of social networking. Solution One possible solution is to raise awareness on the connection between social networking and depression. Social networking companies should acknowledge the possibilities of depression and inform their users of the dangers of over usage. Like many products on the market, if a â€Å"warning† sign is necessary, inform the consumer of the dangers it can cause. Furthermore, they should provide a hotline to report illnessesShow MoreRelatedSocial Networking Has Caused More Harm Than Good to People923 Words   |  4 Pagesthe motion that social networking has done more harm than good to Nigerian youths. Social networking has become a major part of society. Even big businesses and celebrities are jumping on the social networking bandwagon. Many people wake up each day and check social websites first thing in the morning instead of reaching for a newspaper. According to Mashable.com, as of June 2010, American Internet users spend more than 22 percent of their online time using a social networking site. Since peopleRead MoreSocial Networking And Its Effects On Society988 Words   |  4 Pagesaccounts on multiple social networking sites and they spend a lot of time on updating the developments in their daily life and uploading various media like pictures and videos. People really enjoy doing this kind of activity, to be able to communicate with their friends, family members, and also meet new people. For certain people who use social networking as a marketing forum, this is an effective method. However social networking comes with its own share of negative effects on people. It is inde edRead MoreThe Effects of Facebook to Study Habits1734 Words   |  7 PagesCatholic College High School Department S.Y. 2011 - 2012 THE EFFECTS OF SOCIAL NETWORKING TO THE STUDY HABITS OF 4TH YEAR HIGH SCHOOL STUDENTS A Thesis Presented To: Mrs. Ma. Teresa C. Radovan In Partial Fulfillment Of The Requirements In English IV Submitted by: Juan Paulo Concepcion Renz Daniel Tenedero Jeffrey Sanchez John Lemuel Lastimado Jeoffrey Asuncion March 2011 CHAPTER I THE PROBLEM INTRODUCTION As many as you know, social networks have been famous since 2001 with Friendster,Read MoreSocial Media And Its Effect On Society1155 Words   |  5 PagesSocial Media Today, there are just over 3 billion active internet users. Today using social media is the most common activity of children. People have technology right at the tip of their fingers, which isn’t exactly a good thing. Internet use is changing the way people are living their lives, and causing unhealthy addictions. Social networking sites do have a beneficial effect. They make it easier to keep up with their distant friends and family. However, these sites are preventing real life relationshipsRead MorePositive And Negative Effects Of Social Networking1431 Words   |  6 Pagesâ€Å"Like all revolutions, the social networking revolution is accompanied by concerns and questions about whether the changes have wrought something better or something worse.† (Szumski and Karson  ¶ 4) The social networking revolution has come a long way in its accessibility and effectiveness and has become a great resource for many people. But with its benefits come more serious downfalls t hat need to be acknowledged and dealt with. While social networking can be used as a clear, accessible sourceRead MoreEffects of Social Networking on Undergraduate Student’s Grades1550 Words   |  7 PagesIntroduction Social networking has made its way into American culture quickly and is more prevalent now than ever before. Many people have different views on the relevance and benefits of social networking, whether they are positive or negative standpoints. Nevertheless, social media and networking is a part of our American lifestyles as a whole. As a Computer Information Systems major and studying the foundations and composition of computer applications, I would like to research the effects that socialRead MoreSocial Media: Changing Our Society Essay830 Words   |  4 PagesSocial Media: Changing Our Society Electricity was first introduced to society hundreds of years ago; the way people communicate began to change in many different ways since then. New inventions helped people build more sophisticate tools to build better places to live and work. This new inventions changed the way we live now days; they make our lives much easier. In the decade of the 1920s when radio was first introduced to public, people begin buying it and using it more and more, as years passedRead MoreStudents Should Reduce Their Time On Social Networking Sites1483 Words   |  6 PagesReduce Their Time on Social Networking Sites What would people do if they could not access the Internet for one week? Needless to say, they would not do their jobs in a normal way because the Internet plays a big role in their daily lives. Today, human beings are living in the world of advanced technology. Many years ago, technology did not allow people to interact with others as it does today, so they had to go outside to meet their friends individually. Thanks to social networking sites, people canRead MoreDo Social Networking Sites Such as Facebook and Twitter Cause More Harm Than Good1017 Words   |  5 PagesDo social networking sites such as Facebook and Twitter cause more harm than good? As time changes almost everyone around the world spends time using internet instead watching television these days. They seek help from internet, communicate through internet, and play games online and many more. People starting from minor to adult, they all love to be in the very popular social networking sites such as â€Å"Facebook† and â€Å"Twitter†. Actually, theseRead MorePositive Impact Of Social Media Essay821 Words   |  4 Pagesit is today through social networking. According to the Merriam Webster Dictionary, the phrase â€Å"social media† refers to â€Å"forms of electronic communication through which users create online communities in order to share information, ideas, and other content† (687). Information is readily available at one’s fingertips at any given moment. Social networking has evolved into one of the most common forms of communication since the launching of some of th e earliest social networking sites, including Classmates

The Life of John F. Kennedy - 1339 Words

It all started May 29, 1917 in Brookline, Massachusetts, the day John F. Kennedy was born. Jack as the Kennedy’s called him was born to the parents Joseph P. and Rose Kennedy. Jack may not have been the first born in the family, but he certainly wasn’t the last. He was born as the second child out of nine children in the family, and they all were successful. All eleven of the Kennedy’s lived in a clapboard house in Brookline, a town just outside of Boston. Jack had a lot to live up to though, being the second born and also being named after Rose’s father John F. Fitzgerald, or Honey Fitz as some referred to him as. Honey Fitz was a popular politician and a former mayor of Boston. Jack wasn’t exactly the healthiest of children as†¦show more content†¦After his time in the navy, Jack was sent home to his family, but this time with a worse back injury, and Malaria- a serious disease that causes fever, chills, sweating, and vomiting. J ack was receiving US navy medals for his bravery. Later, a high school student asked him how he had become a hero, and he replied, It was absolutely involuntary. They sank my boat. August 1944- Not long after Jack had returned home safely- was Joe Jr. (Jack’s older brother) killed in a plane crash while on a wartime mission. It was the first of many tragedies’ to come to the Kennedy family. Jack knew that his father wanted him to run for office, but Jack wasnt sure he wanted a life in politics. After all he would be the first Catholic President ever. Throughout college, Jack had imagined become a professor or a writer, but Joe’s death, and his wartime experience changed him. Just one year after Joe’s death, in 1946, Jack ran for congress from Boston on the democratic ticket. Jack later stated â€Å"It was like being drafted. My father wanted his eldest son in politics. Wanted isn’t even the right word. He demanded it. You know my father.† Jack wanted to be a congressman for Boston’s 11th district, after all it was the seat in congress his grandfather, Honey Fitz once held. At first no one thought Jack could win because he wasn’t a natural politician. When giving speeches, he stuttered and paused, but eventually he found the words to reach the voters. Jack spent aShow MoreRelatedThe Life of John F. Kennedy800 Words   |  4 Pages John F. Kennedy was the 35 president and was shot driving through Dallas, TX by Lee Harvey Oswald. John married Jackie Bouvier on September 12, 1953.They got married at Bouvier in Newport, Rhode Island. They were married for 10 years. They had four children named Caroline, John , Patrick, and Arabella.Caroline was born on November 27,1957. John was born on November 25,1960, and died July 16, 1999 in a plane crash involving his wife and kids. Patrick was born on , and died 2 days after birthRead MoreLife Of A President : John F. Kennedy2290 Words   |  10 PagesUnited States lost a precious human life that day, the life of a president: John Fitzgerald Kennedy. John Fitzgerald Kennedy was more than just a Google search. He had a wife, Jacqueline (Jackie) Kennedy, and two children Caroline Kennedy and John F. Kennedy, Jr. The Kennedys faced trouble when it came to having children not once, but twice. In 1956, Jackie gave birth to a stillborn baby girl they had planned on naming Arabella (Klein). Caroline Bouvier Kennedy was born November 27, 1957. On AugustRead MoreThe Life and Legacy of John F. Kennedy867 Words   |  3 PagesJohn Fitzgerald Kennedy was born May 29, 1917 in Brookline Massachusetts. He was the second son born to Joseph Patrick and Rose Fitzgerald Kennedy. Despite being born into Boston’s wealthy Irish population, the family was not accepted into the Boston’s Protestant elite. This was due to the opinion of the Boston Brahmins, who perceived the Kennedy’s to still be mere Irish immigrants. Even though earlier relatives Thomas Fitzgerald and Patrick Kennedy emigrated from Ireland to Boston in 1845 and 184 8Read MoreThe Life Of John F. Kennedy Essay1840 Words   |  8 PagesThe Life of John F. Kennedy John F. Kennedy was born in Brookline, Massachusetts on May 29, 1917, the second of nine children. He was a US statesman and our 35th president. He came from a family with a history of good politics. As an infant he lived in a comfortable but modest frame house in that suburb of Boston. As the family got larger and the fathers income and fortune increased, the Kennedys moved to larger, more impressive homes. Their first home was in Brookline, followed by the suburbsRead MoreTwo Weeks in the Life of John F. Kennedy685 Words   |  3 Pagesshifts were taking place, impacting the lives of citizens and altering the American way of life. However, it is easy to study that time period and only focus on those large changes, when, in the background, small, everyday things are taking place that play just as big a role. More specifically, when people look into the lives of presidents during the 1960s, they typically start at their big decisions, life–shattering speeches, and, if interes ting enough, their deaths. Although this can be an effectiveRead MoreThe Life and Presidency of John F. Kennedy Essay489 Words   |  2 PagesJohn Fitzgerald Kennedy, the 35th president of the United States, was a man of great knowledge. For example as a child he would discuss politics at the dinner table. When he was in school he attended a number of academies and private schools. He went to some of the greatest Ivy League colleges in the world, which helped lead him to the White House. Sadly his life was taken at the young age of 46, but his legacy still continues. John F. Kennedy was born to Joseph Patrick Kennedy and Rose FitzgeraldRead MoreJohn F. Kennedy: Life and Times853 Words   |  4 PagesJohn Fitzgerald Kennedy was born in Brookline, Massachusetts on May 29, 1917. John’s mother’s name was Rose Elizabeth Fitzgerald Kennedy and his father, Joseph Patrick Kennedy. Rose and Joseph had 9 children in total. John had a very competitive childhood with his older brother Joseph Patrick Junior. Jack (JFK) was sick very often in his childhood, but nether less he was very active in sports and very social. Jack’s brother Joe Jr. was his parents’ favorite son. Joseph Patrick Kennedy was theRead MoreBrief Summary of John F. Kennedy ´s Life1017 Words   |  5 Pagesand inauspicious leaders. One of the top leaders happen to be John Fitzgerald Kennedy of the United States of America. John Fitzgerald Kennedy very prosperous leader was his speeches that he gave to the american people and to the world trying to make the world a much higher quality place to live. He also asked the american people â€Å"Ask not what your country can do for you; ask what you can do for your country.† John Fitzgerald Kennedy was born May 29, 1917 in Brookline, Ma. He was born into a veryRead MoreJohn F. Kennedy: A Life of Abundance Before He Became President903 Words   |  4 Pagesor country. John F. Kennedy was known as a great leader and he was also known throughout the world for his heroic deeds. John F. Kennedy’s Assassination was a huge milestone in the past half century and it has affected many American lives. John F. Kennedy lived an abundant life including his younger years, his years in Congress, and his final days as President of the United States. John Fitzgerald Kennedy, also known as Jack, was born on May 29, 1917 in Brooklyn, Massachusetts. John was named afterRead MoreJohn F. Kennedys Life, Struggles, and Accomplishments Essay872 Words   |  4 Pages John F. Kennedy’s beginnings These words said by a powerful president, who had helped this country not only be successful but a very strong country. John F. Kennedy said these words to tell Americans, you need to care for your country not just yourself. John F. Kennedy was not only a president but he was in the U.S. Navy, which I think means he has pride in his country and was willing to do anything he could do to make it a better place. In chronological order I will discuss John F. Kennedy’s

Association Rule in Business Intelligence †MyAssignmenthelp.com

Question: Discuss about the Association Rule in Business Intelligence. Answer: Introduction The theory of business intelligence (BI) is often referred to as a combination of various practices, application and technologies bused for collecting, integrating, analyzing and presenting new information. Zhao and Bhowmick (2015, p.64) showed that the application of various BI process allows any business organization to analyze, store and access data for the decision making process. According to Moro, Cortez and Rita (2015, p.1322), content and data must not be characterized as separate object, but need to me utilized together in a integrated format for assisting generating more business opportunities. In order to keep track, analyze and monitor the significant data, organizations used various technologies and software applications. Kasemsap (2015, p.25), showed that development of the BI software has been developed with the significant goal for importing, extracting and analyzing the data for revealing the insight of business information. Larose (2014, p.6), claimed that in todays world with the advancement of information technology, data are being produced in significant velocity and volume. The exponential increment of data has made it difficult for the business organization to select and identify the crucial information for assisting in business decision making process. Fan, Lau and Zhao (2015, p.91), showed that data mining procedures, processes and techniques are being widely used in both scientific and commercial domain for analyzing and extracting huge amount of data that are both in structured and unstructured or mixed formation. Over the past decade, various tools, techniques and algorithm have been proposed and developed for mining information for the process of BI. Giannotti et al., (2013, p. 388) claimed that various software and applications used for the Business Intelligence often employ the techniques and theories of data mining and association rules. This particular report aims at evaluating the role of data mining and association rule in business intelligence. Apart from that, the reports tend to evaluate the various process and algorithms of association rules are widely used for data mining. Furthermore, based on the information gained, the study will try to identify the better process or algorithm that would enhance the business intelligence process with association rule. Slimani and Lazzez (2014, p. 143) showed that the techniques of association rules are widely used in the business operations for the discovery of the various products and services combinations that the customers tends to purchase together. Further, the application of the association rules ensures the determination and evaluation of the underlying relationship between the various products and the hierarchy of products used for purchase of products. This particular chapter aims at evaluating and reviewing five past articles for evaluating the use of association rules in business intelligence and various processes of techniques used for data mining in business organizations. Association Rule Approach for Evaluation of Business Intelligence for Enterprise Systems Paper is About: In this particular article, the author showed that data mining processes and techniques are extensively used in the business intelligence software for identifying crucial information related to business operations. In this article, the authors have highlighted the significant application of association rule algorithms for data mining process in business organizations. Furthermore, Rouhani et al., (2012, p.8) have provided a process map using the association rules algorithm for business intelligence. In addition to that, the article has represented a combined process used with the apriori and business intelligence techniques used for data evaluation and analysis in business organization. Apart from that traditional process of using association rule in business intelligence for extracting information has also been reviewed. Technical Details: Rouhani et al., (2012, p.2) have defined the role of the association rule in data mining is for detecting the underlying association or relation in large volume of data set based on defined nominal attribute values. Further it has been identified that the association rule is used for discovering the relation between different items used from the huge set of transaction. Further, the author has used Apriori algorithm as example for of association rule in business processes. Rouhani et al., (2012, p.4) have further showed that association rule is widely used for analyzing market analysis for evaluating the pattern of store types, mail order and purchase of the items in the supermarket. Confidence and support are the two major variable used in association rules for determining the interestingness of the association rule applied for data mining. Rouhani et al., (2012, p.1) claimed that the association rule is considered if the evaluated level of confidence and support are greater that pre-defined confidence and support respectively. Used in association rule in BI: Rouhani et al., (2012, p.5) have stated that in current business operations and environments, ERP (Enterprise Resource Planning) systems are widely used for conducting major operations and computerizing the different procedure used by an organization. ERP systems are often associated with the revising various documents, filing forms and logging various transactions while registering the events that occur in the business and functional module of the organization. Rouhani et al., (2012, p.6) showed that he information and data stored and used in the ERP systems can be used for improving the efficiency and performance of the business processes. Furthermore it has been identified in the paper that process mining or business process mining is utilized for explaining and analyzing the behavior of various process and logs. Therefore, the application of various data mining tools, processes and algorithms would help in improving the data analysis and evaluation process. Further, Rouhani et al., (2012, p.4) showed that the process of data mining helps in process of knowledge discovery and decision making process. In addition to that, the increased use of data mining application and tools are used for providing tremendous support for improving the quantity measurement in business operations. Association Rules Mining for Business Intelligence Paper is About: This particular paper evaluated the process and techniques used in business intelligence and data mining. The author has identified a relation between the data mining and business intelligence used in business operations (Jha, 2014). The paper identified the essential stages and phases of business while determining the needs of data analysis and evaluation for the decision making procedure of organization. Furthermore, the paper has aimed at determining the various challenges and requirement of data mining followed during the business intelligence process (Jha, 2014). Apart from that, the author has classified the various techniques used in the process of data mining while reviewing and analyzing the association rules and algorithms that are being used in the business process. Technical Details: In this paper, data mining has been defined as an issue dependent on the application. Further, Jha, (2014) claimed that various application required different data mining techniques and rule for evaluating the detailed information. Jha, (2014) showed that mining association rule is the major rule that has been widely used by various applications. Two vital algorithm have been identified in the article, namely Nave algorithm and Apriori Algorithm. Further, the author has presented the association of two methods used in the transaction of the items and determined the support and predictability of the association rules obtained from both the algorithm. Used in association rule in BI: Jha, (2014) illustrated that huge data are being generated by various electronic devices and application of barcodes in the departmental and business has increased the amount and velocity of data generation. Further, the author has provided example by stating and on a daily basis, Wal-Mart generated 20 million data based on transaction of good. The application of the association rule for the mining of information assist the analysis in gaining information that makes sense to the business processes (Jha, 2014). The application of the association rule allows the determining and identifying the habit of the customer in purchasing items from the store. Apart from basket analysis, association rule has significant application in classification, e-commerce, finances, web mining, customer segmentation and marketing. Comparative Survey on Association Rule Mining Algorithms Paper is About: Girotra et al., (2013, p.20) have identified the popularity of association rule in the process of data mining among the business organization and marketers. The author has showed that association rule in data mining and discovery creates various subset of the large item set for determining the existing relationship between the items. In this paper, the author has identified that the association rule is divided into two significant parts. The initial phase determines the most frequent sets used among the large volume of unstructured or structured data (Girotra et al., 2013, p.18). While the second phase is used to determine the association rule or relationship between them. The paper has evaluated the different algorithm and process that are used for the association rule identification in knowledge discovery. Technical Details: The authors have identified eight significant algorithms that are frequently used in the association rules. The algorithm identified includes FP- Growth, Recursive Elimination, Eclat, Apriori hybrid, AprioriTID, Apriori, SETM and AIS. Various characteristic and functions of the different algorithms has been identified in the article. In addition to that, the authors have developed a detailed comparison of the various algorithms based on their features and functions (Girotra et al., 2013, p.20). From the detailed comparison and analysis it has been identified that use of Apriori Algorithm is most useful in case of closed set of items while Eclat is most advantageous in case of free set of items. The author showed that Apriori Algorithm, showed more efficiency and advantageous in performance and operations considering the other entire algorithm identified. Furthermore, it has been illustrated that the technique and process of Recursive Elimination were better conside ring all the features of Apriori but poorer when compared to Eclat algorithm used. Used in association rule in BI: The theory of association rule has been developed for identifying the most frequent item set purchased and often considered as the market basket analysis pattern or process. Girotra et al., (2013, p.21) claimed that the business executives and the professionals often uses the theory and technique of association rue for developing the layout plan and to place the services and items placed together for increasing the purchase rate and efficiency. Furthermore, the author claimed in todays business world, where technology and hand held devices are widely used, data are generated at high rate. The detailed information related to business are essential for developing various strategies related to business analysis (Girotra et al., 2013, p.22). The application of business intelligence helps in extracting raw information and provides structure understandable data that are useful for decision making process in business. Therefore, the application of association rule and data mining technique would help the analyst in performing the data evaluation in easier and much efficient manner. Performance Analysis of Apriori and FP-Growth Algorithms (Association Rule Mining) Paper is About: In this paper, the author has identified that association rule and data mining techniques are widely used in various data analysis and mining process all over various industries (Bala et al., 2016, p.283). The selected paper aims at defining the association rule and the concept of data mining used for data analysis and knowledge discovery in various business organizations. The author has identified the two significant algorithm of association rule namely FP Growth and Apriori for comparison and analysis of the difference of performance on the data identification and analysis (Bala et al., 2016, p.291). In addition to that, the author has used WEKA software for determining and evaluating the effectiveness of the performance of the association rule. Technical Details: While analyzing the apriori algorithm, the author has identified the procedure and techniques used for determining the association rule. The author has showed apriori runs on four significant steps. The initial step includes the generation of the element dataset of most frequently used items (Bala et al., 2016, p.286). The step is followed by join step process for identifying the number of candidate in the frequent step and self join with each other. The necxt step is followed by the pruning of the frequent dataset. In the last step, the data set that are least used are pruned from the association rule. Bala et al., (2016, p.283) showed that application of apriori algorithm uses more space results in the increased database. Similarly, FP Growth analysis has been analyzed for the evaluation of the performance. It has been identified that FP growth uses two phase process, first for developing the dataset and second phase for traversal of the FP tree. Used in association rule in BI: the association rule in the process of business intelligence can be utilized for digging out the relevant information regarding various process and technique used in business processes. The author has demonstrated that the applications of association rule in the business intelligence process allows in extracting hidden and underlying information from huge dataset and network for determining the potential association between the neglected items and predict the trends that can be used in decision making procedure (Bala et al., 2016, p.289). Association Rule Mining with Apriori and FP - growth Using Weka Paper is About: Mishra, Pani and Ratha (2015, p.2841) have showed association rule is one of the significant technique for mining significant information. In this paper, the author has determined and evaluated the significant technique and process used for the two major association rule including Apriori and FP Growth (Mishra, Pani and Ratha 2015, p.2838). The paper determines the effectiveness and performance of the two major algorithms. The author has used WEKA tools for determining the efficiency of the algorithm. Based on the analyzing and association rule generation in WEKA application, Technical Details: The paper showed various clustering technique used in the association rule including Model-based methods, Grid-based methods, Density based methods, Hierarchical Agglomerative and Partitioning Methods. Mishra, Pani and Ratha (2015, p.2840) author showed that Apriori Algorithm uses large dataset that are kept in lexicographic order. Furthermore, it has been identified that in Apriori method, the item set are detected on the basis of various pass and transaction while eliminating the item assets that are less frequently used. On the other hand, FP Growth algorithm is characterized with prefix tree structure, fragment pattern growth and frequent pattern for developing the FP tree. Used in association rule in BI: The author has claimed that association rule is one of the revolutionary technology and procedure used for determining the data evaluation and pattern. The process of association rule in data mining allows in determining the correlation between the different patterns in huge volume of relational database. Therefore, the author claimed that the association rule are used in the business intelligence on data warehouse for managing the multidimensional data and accessing information for professional use and decision making procedure of the business organization (Mishra, Pani and Ratha 2015, p.2839). The data mining technique provides visualization, analysis, recognition and warehousing of huge information for enhancing the performance and efficiency. Critical Review/ Analysis The above five journal articles have demonstrated and evaluated the various algorithms and processes used in the data mining and association rule for identifying the underlying relation between huge dataset Zhao and Bhowmick (2015, p.64). The detailed literature survey of the various papers has showed that association algorithm and apriori algorithm are widely used in various process and techniques. The literature survey has demonstrated the significant and performance analysis of the various association algorithm and observed that Apriori algorithm has maximum amount of performance efficiency when considered between various algorithms with closed dataset. Further, it has been identified that all the authors have included the application of Apriori Algorithm in their analysis and evaluation process Moro, Cortez and Rita (2015, p.1322). The application of the Apriori algorithm can be considered standard for data mining and evaluation for large dataset. In addition to that, from the da ta evaluation of the survey, it has been observed that authors tends to use WEKA software tools for evaluation and determining the efficiency of the algorithm while developing the association rule between the algorithm. In addition to that, the application of association algorithm for data mining, evaluation and visualization provides detailed information about the underlying process and items that can be used for the decision making process of the business. Therefore, it can be claimed that association rule for data mining is a subset of the business intelligence process used in various industries. Furthermore, Slimani and Lazzez (2014, p. 143) claimed that based on the needs and requirement of the business intelligence software and the observation, various algorithm are employed for determining the existing and underlying trends and pattern in the information. The above survey of past literature has able to provide detailed information about the various association algorithm used in the data mining process. Various business intelligence software and systems including ERP, CRM and CSM used data mining algorithms, tools and techniques for taking business intelligence. The discovery of association rule and algorithm have increased and improved the efficiency of the knowledge discovery in business intelligence process. The detailed survey focused on the application of association rules and techniques for data mining process. The survey was able to provide detailed information regarding the different procedure and need of association rule in the business intelligence. The detailed survey showed that the apriori algorithm provides efficient result in the process mining and evaluation of detailed information. Therefore, the above evaluation was successful in determining the significant process, technique and procedure that are frequently used in association algorithm. In addition to that, the survey has focused and showed light in the application of association rule for the data intelligence and fact finding technique used in the business intelligence procedure of various business organizations. 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