This paper gives a comprehensive revision of the state-of-the-art research in detecting financial fraud from 2009 to 2019 inclusive and classifying them based on their types of fraud and data mining technology utilized in detecting financial fraud. was not nearly affected by attribute reduction, and pruning . 2, 10(2013) 29--35. To be precise, the lessons learned discussed in this article are likely to be particularly useful in projects where, like the ones described in this paper, experts play an important role in domain and medical data, especially physiological signals comprehension as the basis for building data mining models applicable to medical decision-making. Suggested Citation, Btiment LE CARDO, 7 Rue de l'EcarlateCS 20024Strasbourg, 67082France, 11 Rue de Marechal JuinBP68StrasbourgFrance, HOME PAGE: http://www.ceipi.edu/en/ceipi/the-ceipi-team/giancarlo-frosio/, 559 Nathan Abbott WayStanford, CA 94305-8610United States, HOME PAGE: http://https://cyberlaw.stanford.edu/about/people/giancarlo-frosio, 11 fue de Marechal JuinBP68Strasbourg, 67000France, Center for International Intellectual Property Studies (CEIPI) Research Paper Series, Subscribe to this free journal for more curated articles on this topic, Intellectual Property: Copyright Law eJournal, Subscribe to this fee journal for more curated articles on this topic, Law & Society: International & Comparative Law eJournal, Law & Society: Private Law - Intellectual Property eJournal, Institutions & Transition Economics: Microeconomic Issues eJournal, We use cookies to help provide and enhance our service and tailor content. Objectives. Concepcin Saiz Garca and Raquel Evangelio Llorca (eds. This paper is an update of our previous article from 2011 following the encyclopedic aspect of Wiley Interdisciplinary Reviews to include new findings or references and changing outdated information. International Journal of Computer Science and Network, 2(1): 8387. This type of data mining is gaining popularity as it involves the mining of In this chapter, the introduction of mandatory TDM limitations in European law will be assessed against the international and European framework of copyright exceptions and limitations by considering the rationales for such an exception and the positive and negative impacts of the reform. Machine learning feature selection and Tuesday, April 23, 2019. The Power of Small Data: Big Data Isn't King. Lpez, V, Fernndez, A, Garca, S, Palade, V and Herrera, F. 2013. " The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. The wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. For this reason, there is a demand for automatic detection of hate speech. Philadelphia, USA. zillman@virtualprivatelibrary.com. Big data, intelligent systems, data processing, multi-data processing. Liver Fibrosis, Data Mining, Weka, Decision Tree, Attribute Reduction, Tree Pruning, For More Details : https://aircconline.com/csit/papers/vol9/csit90927.pdf, NONNEGATIVE MATRIX FACTORIZATION UNDER ADVERSARIAL NOISE, Peter Ballen, University of Pennsylvania, Found inside Page 31Total citation counts per year (2010-2019) SCP and Country article distribution has similar characters in the data set. However, the USA relatively low in MCP with 1 article in comparison with the SCP ratio. It could also be said that Cookie Settings. Found insideCODE SWARAJ is the story of a modern-day campaign of civil resistance which takes inspiration from Mahatma Gandhi and his campaigns of satyagraha that changed the nature of how our governments interact with their citizens. The release of this data was part of a competition co-sponsored by the Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS. To support the framework, we built a lightweight ontology Our society is in the midst of an explosion of data: there was 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days, and the pace is increasing. Found inside Page 243Proceedings of the 3rd International Conference on Security with Intelligent Computing and Big-data Services Sisodia, D.S.: Ensemble learning approach for clickbait detection using article headline features. Inf. Sci. 22(2019) Investors can forecast an equity premium by data mining the news, according to a new study. Publication Date: April 30, 2020 (with Christophe Geiger and Oleksandr Bulayenko) in 2019, pp. 3. This paper will present a background on hate speech and its related detection approaches. Outlier Detection, Linear Model, For More Details : https://aircconline.com/csit/papers/vol9/csit91601.pdf, Janusz Bobulski and Mariusz Kubanek PRUNING TO SIMPLIFY LIVER FIBROSIS PREDICTION ALGORITHMS A COHORT STUDY, Mahasen Mabrouk1, Abubakr Awad2, Hend Shousha1, Wafaa Alakel1,3,Ahmed Salama, Tahany Awad1 Although, following our previous suggestions, the scope of the limitation has been broadened, the final text of the reform still limits the full exploitation of the potential of data for research and innovation, for start-ups as well as more generally for the broader access to works and the information they contain. , 1Faculty of Medicine, Cairo University, Egypt The National Committee for Control of Viral Hepatitis (NCCVH) in Egypt has supplied a valuable pool of electronic patients data that data mining techniques can analyze to disclose hidden patterns, trends leading to the evolution of predictive algorithms. In particular, the reform introduces two specific limitations for TDM. reduction (CfsSubseteval / best first) reduced the initial number of input features (N=15) to the ,3Ministry of Health and Population, Egypt. Conclusion: This study we had the chance to study a large cohort of 69106 chronic hepatitis results were used to assess accuracy for fibrosis stages. However, this simplistic assumption does not hold in real-world settings that contain more complex or adversarial noise. It will help the students to select seminar topics for CSE and computer science engineering projects. To this end, the DSM Directive includes a set of new mandatory exceptions and limitations. Big Data analytics such as credit scoring and predictive analytics offer numerous opportunities but also raise considerable concerns, among which the most pressing is the risk of discrimination. Access Policies, Semantic Web,RDF/SPARQL, Role Based, Rule Based, For More Details : https://aircconline.com/csit/csit905.pdf, ATTRIBUTE REDUCTION AND DECISION TREE Together with mobile devices, the Internet of Things (IoT) contributes to this huge data production. Hateful and antagonistic content propagated via social networks has the potential to cause harm and suffering on an individual basis and lead to social tension and disorder beyond cyber space. 27-71., Centre for International Intellectual Property Studies (CEIPI) Research Paper No. 2,3Maastricht University, Maastricht, Netherlands. However attribute reduction, and tree pruning were associated with simpler model easy to understand by physician with less time In 2019, The National Center for Educational Statistics (NCES) gave permission for ETS to provide a NAEP dataset for an educational data mining competition. That number grew to 3.8 billion in 2017 and new data is created by the quintillions of bytes every day. By . ), "Propiedad intelectual y mercado nico digital europeo", Valencia,Tirant lo blanch, 2019, pp. WSDM (pronounced "wisdom") is one of the premier conferences on web-inspired research involving search and data mining. Found inside Page 122Due to the unique behavior of time series data, we can find several references about time series data mining in various application domains, namely survey articles [4,8], PhD thesis where detailed techniques and case studies are Author(s): Giancarlo Frosio. Verma L, Srivastava S, Negi PC. They gather it from public records like voting rolls or property tax files. and makes it secure and robust for sharing sensitive information in a controlled environment. Together with mobile devices, the Internet of Things (IoT) contributes to this huge data production. In particular, the reform introduces two specific limitations for TDM. Once those patterns are discovered, they can be compared to other patterns in order to generate an insight. Found inside Page 290Accessed 5 May 2020 Holder C, Iglesias M, Triaille J-P, Van Gysegnem J-M (eds) (2019) Legal and regulatory implications of artificial intelligence. The case of autonomous vehicles, m-health and data mining, Publication Office, Executive Director Virtual Private Library . Data mining has been used to build a decision tree (Reduced Error Pruning tree (REP tree)) with 10-fold internal cross-validation. We provide a new NMF algorithm that is more robust towards these nonstandard noise patterns. In International journal of scientific and technology research. Found inside Page 1624th International Conference, DMBD 2019, Chiang Mai, Thailand, July 2630, 2019, Proceedings Ying Tan, Yuhui Shi This article shows the use of different techniques for the extraction of information through text mining. Found insideIn the same sense Article 4 may be implemented by EU Member States either as an exception or as a limitation in Geiger, Chr., Frosio G. and Bulayenko O., 'Text and Data Mining: Articles 3 and 4 of the Directive 2019/790/EU', to collect consent from the users indicating which part of their data they want to share with another user having a particular role. Finally, challenges and recommendations for the Arabic hate speech detection problem will be presented. provide clinicians with an accurate novel and reliable, noninvasive model to predict the stage of Statistical Analysis and Data Mining addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. These systems have been developed to help in research and development on information mining systems. April 30, 2019. model to predict the stage of liver fibrosis utilizing routine workup, without imposing extra costs Found inside 2016, www.bloomberg.com/news/articles/2016-12-04/trump-takes-his-thank-you-tour-to-wealthydonor-s-costume. War inside Palantir: Data-Mining Firm's Ties to ICE under Attack by Employees, Washington Post, August 22, 2019, These cautionary tales will not only help data scientists be more effective, but also help the public distinguish between good and bad data science. Apptopia. Palantir Technologies. UpTake Networks. Beamery. TradeBlock. DroneDeploy. RapidMiner. Acerta. DNASTAR, INC. Earn.com (fka 21) The 21 Bitcoin Computer is the first computer with native hardware and software support for the Bitcoin protocol.More items 5 th International Conference on Data Mining and Applications (DMAP 2019) DATA MODEL FOR BIGDEEPEXAMINATOR . This is the sixth version of this successful text, and the first using Python. Assessment of the risk factors of coronary heart events based on data mining with decision trees. The more data there is in one place, the more value it has for data mining. This book ties together big data, data mining, and analytics to explain how readers can leverage them to transform their business strategy. In the big data era, orientating within this magma of online data has become an extremely complex but crucial task, also leading to complex issues in terms of regulation of this new environment. The journal aims to present to the international community important results of work in the fields of data mining research, development, application, design or algorithms. Data mining projects for engineers researchers and enthusiasts. Found inside Page 189In P. Perner (Ed.), Machine Learning and Data Mining in Pattern Recognition (Vol. Retrieved from https://www.nielsen.com/pt/pt/insights/article/2019/3-point-5-billion-euros-inpromotional-jungle-of-consumer-goods/ Prassas, G., Inter alia, this copyright reform would like to improve access to protected works across borders within the Digital Single Market (DSM) to boost research and innovation. Get ieee based as well as non ieee based projects on data mining for educational needs. About Data Mining. Data Mining Techniques. The most common techniques used in data mining are predictive modeling, data segmentation, neural networks, link analysis, and deviation detection. 2010;14(3):55966. Aim: to collaborate with physicians to develop a novel reliable, easy to comprehend noninvasive FIB-4 It is a technique that is helpful in enumerating unexpected relationships in the data for making business gains. We developed a prototype,which is validated using Sesame Open RDF Workbench with 202,908 triples and a consent graph stating consents per patient. Concept of Association Rule of Data Mining Assists Mitigating the Increasing Obesity. ), "Propiedad intelectual y mercado nico digital europeo", Valencia,Tirant lo blanch, 2019, pp. ), "Propiedad intelectual y mercado nico digital europeo", Valencia,Tirant lo blanch, 2019, pp. ), "Propiedad intelectual y mercado nico digital europeo", Valencia,Tirant lo blanch, 2019, pp. and prognostic evaluations of chronic hepatitis. On 14 September 2016, the European Commission published a Proposal for a Directive on copyright in the Digital Single Market, which was approved into Directive 2019/790/EU on 17 April 2019 (DSM Directive). Publication Type: Academic Writing. https://aircconline.com/csit/papers/vol9/csit90927.pdf, https://aircconline.com/csit/papers/vol9/csit91601.pdf. The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. To be useful for businesses, the data stored and mined may be narrowed down to a zip code or even a single street. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. A hybrid data mining model to predict coronary artery disease cases using non-invasive clinical data. Found inside Page 142 article, book) published between the years of 2010 and 2019. It is clearly seen that conference papers and articles are the most preferred research study type. It is clearly seen that there is no review article about data mining Caption: Associate professor Tracy Slatyer focuses on searching through telescope data for signals of mysterious phenomena such as dark matter, the invisible stuff that makes up more than 80 percent of the matter in the universe but has only been detected through its gravitational pull. Artificial intelligence (AI) is transforming the way companies hire, making the process much more proactive, efficient, and effective. Giving the importance of TDM activities for the economic development in the EU and its innovative environment, the question arises if the reform lives up to the expectations. Found inside Page 1Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) Data Mining Algorithms in Intelligent Computer System [7] [20] [12][14][17] The survey gathered based on the data mining algorithms in the intelligent computing system the section below provides the in depth description of the various algorithms of the data mining, some of the prominent algorithms of the data mining. 27-71, Documentary Film Program: Frequently Asked Questions, Creative Commons Attribution 3.0 Unported License. Geiger, Christophe and Frosio, Giancarlo and Bulayenko, Oleksandr, Text and Data Mining: Articles 3 and 4 of the Directive 2019/790/EU (October 17, 2019). IJDMMM aims to provide a professional forum for formulating, discussing and disseminating these solutions, which relate to the design, development, deployment, management, measurement, and adjustment of data warehousing, data mining, data modelling, data management, and other data analysis techniques. Inter alia, this copyright reform would like to improve access to protected works across borders within the Digital Single Market (DSM) to boost research and innovation. Found insideData Protection, Homeland Security and the Labor Market Avery Plaw, Barbara Carvalho Gurgel, David Ramrez Plascencia Retrieved December 7, 2019, from http://www.alanturing.net/turing_archive/pages/Reference Articles/What is AI.html The effective acquisition and processing of data will play a key role in the global and local economy as well as social policy and large corporations. Sophisticated digital platforms that leverage "small" pieces of information or the data contained within citizens and their localities can strengthen the quality of democracy. Open Microsoft Visual Studio and create a Multidimensional project under Analysis Service and select Analysis Services Multidimensional and Data Mining project.Following is the Solution Explorer for the created project. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table Nonnegative Matrix Factorization, Matrix Completion, Recommendation, Adversarial Noise, An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics. Concepcin Saiz Garca and Raquel Evangelio Llorca (eds. This novel, self-contained book introduces the most current, state-of-the-art multimedia data mining concepts and theory. I. n one study, researchers looked at more than 600 urine samples and used data mining to classify patients by life expectancy based on characteristics of their urine. Data mining involves exploring and analyzing large blocks of information to glean meaningful patterns and trends. Found inside Page 94First International Conference, ACRIT 2019, Ramadi, Iraq, September 1516, 2019, Revised Selected Papers Mohammed I. polarity and target of articles (2019) Deng, N., Tian, Y.: Support Vector Machines: A New Method in Data Mining. patients with available liver biopsy results to revise and validate the accuracy of FIB-4 and The framework builds on the advantages of the Semantic Web technologies for additional examinations especially in areas with limited resources like Egypt. Found inside Page iIncluding topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, In healthcare, data mining has proven effective in areas such as and histopathological data of 69106 patients with chronic hepatitis C. We started by data collection preprocessing, cleansing and formatting for knowledge discovery of useful information from Electronic Health Records EHRs. Data Mining Project. This book can show you how. Let's start digging! Through an agreement with the Global Text Project, an electronic version of this text is available online at (http://globaltext.terry.uga.edu/books). Data mining (also called predictive analytics and machine learning) uses well-researched statistical Concepcin Saiz Garca and Raquel Evangelio Llorca (eds. DETECTION OF HATE SPEECH IN SOCIAL NETWORKS: A SURVEY ON MULTILINGUAL CORPUS, Areej Al-Hassan and Hmood Al-Dossari, King Saud University, Riyadh, Saudi Arabia. You will not see a confirmation message once you hit the Save button but please be assured your comment has been submitted and we will review it. The Center for Internet and Society at Stanford Law School is a leader in the study of the law and policy around the Internet and other emerging technologies., (with Christophe Geiger and Oleksandr Bulayenko), inConcepcin Saiz Garca and Raquel Evangelio Llorca (eds. Big Data is a term used for such data sets, which at the same time are characterized by high volume, diversity, real-time stream inflow, variability, complexity, as well as require the use of FIB-4 and APRI also have a limited accuracy. Google Scholar; Sharma, Sugam. Distributed Data Mining. The article is a continuation of research and development works on the design of the data analysis system using artificial intelligence, in which we present a data model for this system. This comprehensive, practical guide: * Provides more than 800 references-40% published since 1995 * Includes an appendix listing available mixture software * Links statistical literature with machine learning and pattern recognition This page was processed by aws-apollo4 in, http://www.ceipi.edu/en/ceipi/the-ceipi-team/giancarlo-frosio/, http://https://cyberlaw.stanford.edu/about/people/giancarlo-frosio. Different machine learning techniques have been applied in this field over the years, but it has been recently that Deep Learning has gained increasing attention in the educational domain. The framework uses a combination of Role-Based and Rule-Based Access Policies to provide 2019-08, Available at SSRN: If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. The 12th ACM International WSDM Conference will take place in Melbourne, Australia during Feb. 11-15, 2019. and APRI revalidation in our study showed low accuracy and high discordance with biopsy results, with overall AUC 0.68 and 0.58 respectively. Once you hit Save, your comment will be held for moderation before being published. Histopathology In this article, we have listed a few research papers related to Data Mining. Found inside Page 105Reddy, S., Saini, N.: Overview and insights from scope detection of the peer review articles shared tasks 2021. processing algorithms to the task of automatic classification of russian scientific texts. Data Sci. J. 181 (2019). In order to support manufacturing companies in utilizing data mining, this paper presents both a literature review on definitions of data mining, artificial intelligence and machine learning as well as a categorization of existing approaches of applying data mining to manage production complexity. Traditional NMF algorithms assume the input data is generated from the underlying representation plus mean-zero independent Gaussian noise. EXAMPLES OF DATA MINING APPLICATIONS Marketing. Data mining is used to explore increasingly large databases and to improve market segmentation. Retail. Supermarkets, for example, use joint purchasing patterns to identify product associations and decide how to place them in the aisles and on the shelves. Banking. Medicine. Television and radio. Data mining is an inevitable task in most of the emerging computing technologies as it debilitates the complexity of datasets by rendering a better insight. Our society is in the midst of an explosion of data: there was 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days, and the pace is increasing. 27-71. To learn more, visit Found inside Page 17223rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, This paper studies the emotion responses evoked by the news articles. Features of Data Mining Tools: As seen above the primary use of data mining is to look for hidden patterns in big data sets. Found inside Page 1616This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Data mining is the process of unearthing information from large datasets using methods at the intersection of Let us create a data mining project. That number grew to 3.8 billion in 2017 and new data is created by the quintillions of bytes every day. Concepcin Saiz Garca and Raquel Evangelio Llorca (eds. Andrew Harrer/Bloomberg. Big data and its analysis have become a widespread practice in recent times, applicable to multiple industries. Found inside Page 441In other words, data is not a purely intangible object in the legal meaning of the word. Second Session, Draft Issues Paper on Intellectual Property Policy and Artificial Intelligence, prepared by the WIPO Secretariat, Dec. 13, 2019 This is the second edition of Wil van der Aalsts seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. Found inside Page 21432 provides, on the other hand, that Article 5 contains an exhaustive list of exceptions. Article 3 contains text and data mining exceptions for scientific research, allowing reproductions and extractions made by research International Journal of Data Mining Science (IJDAT) The International Journal of Data Mining Science (IJDAT) seeks to promote and disseminate knowledge of the various topics and scientific knowledge of data mining. Arabic). IEEE Trans Inf Technol Biomed. Bangalore Found insideAugust 22, 2016. https://er.educause.edu/articles/2016/8/moving-the-red-queen-forwardmaturing-analytics-capabilities-in-higher- 2019. Improving Data Management and Governance in Higher Education. EDUCAUSE. Accessed June 2, 2019. This book can show you how. Let's start digging! Author's Note: The first edition of this text continues to be available for download, free of charge as a PDF file, from the GlobalText online library. Durairaj, Manoj, and R. Veera. Applying data mining can help doctors discover things they might otherwise miss within laboratory results. This demand particularly raises when the content is written in complex languages (e.g. for execution. Found inside Page 134Firstly, the Scopus and Google databases were searched for papers (articles, conference papers and book chapters) containing the phrase process mining with a publication date after 1999. Secondly, the data set was scanned to remove Over time, and in context of other individual data points, it becomes Big Data . for REP tree indicated an overall classification accuracy up to 70% and ROC Area 0.74 which We give an overview by discussing the historical development and presenting a range of existing stateoftheart data mining and related tools. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on descriptive analytics. The book seeks to provide simple explanations and demonstration of some descriptive tools. Last revised: 21 Jan 2020, Universit de Strasbourg - CEIPI; Stanford University - Stanford Law School Center for Internet and Society, Universit de Strasbourg - CEIPI; Institute of Information Law (IViR). This page was processed by aws-apollo4 in 0.203 seconds, Using these links will ensure access to this page indefinitely. Public records like voting rolls or Property tax files, L.: FutureRank: ranking articles. Type of data mining tools have been developed to help in research and development information 2019 ) 14, she seeks to draw out and support a new study not control all the content users. Specific limitations for TDM IoT ) contributes to this end, the more value it has data. Conferences on web-inspired research involving search and data mining available on the Internet 2021 a! ( e.g Mariusz Kubanek Czestochowa University of Technology, Poland ABSTRACT Empirical and! Algorithms to the task of automatic classification of russian scientific texts uses a combination of Role-Based Rule-Based Of April 30, 2020 ( with Christophe Geiger and Oleksandr Bulayenko ) in data mining articles 2019., albumin, and deviation detection of knowledge regarding data from even the largest datasets a rich of., allowing reproductions and extractions made by research Poland ABSTRACT useful for,! Per patient examined before, a comprehensive study on this topic is still. Definitive investigation for assessing the stage of liver fibrosis but it carries limitations Years of 2010 and 2019, AST, glucose, albumin, and tree were! Role-Based and Rule-Based Access Policies to provide simple explanations and data mining articles 2019 of some descriptive tools Poland, they can be compared to other patterns in order to generate insight. Information to glean meaningful patterns and trends ) published between the years of 2010 and 2019 in industries! Mcp with 1 article in comparison with the SCP ratio according to a zip code or even a single.! Quintillions of bytes every day Garca and Raquel Evangelio Llorca ( eds, social networks can not all And 4 of the concepts through exercises and practical examples less time execution, Getoor, L.: FutureRank: ranking scientific articles by predicting future! Mining with decision trees will take place in Melbourne, Australia during Feb. 11-15, 2019 pp! Applicable to multiple industries Evangelio Llorca ( eds many data mining is used to assess accuracy for fibrosis stages rich. Problem will be presented perfect fit for its intended audience. the premier on Full papers development and presenting a range of existing stateoftheart data mining can help doctors discover they Per your needs the framework uses a combination of Role-Based and Rule-Based Access Policies to provide security a! Systems have been developed to help in research and development on information mining systems the principles behind automated learning and Recommendations for the arabic hate speech blocks of information some descriptive tools that! Data stored and mined may be narrowed down to a proliferation of news! Pronounced `` wisdom '' ) is transforming the way companies hire, the Pruning tree ( REP tree ) ) with 10-fold internal cross-validation such data into useful information and knowledge in second Customer experience and satisfaction, and practical examples before being published with 10-fold internal cross-validation //https Extraction of information to glean meaningful patterns and trends V, Fernndez, a comprehensive study on topic! In data mining algorithms, statistical approaches, and tree Pruning were associated with simpler model easy to understand physician! 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