CITU Search for '(su:"Data Mining")'

Effective CRM using predictive analytics /

By Chorianopoulos, Antonios.. . xiv, 371 pages : 25 cm. 9781119011552 (cloth)

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Essentials of business analytics /

By Camm, Jeff.. . xix, 675 pages : 26 cm.. 9781285187273 (student edition : alk. paper)

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Responsible analytics and data mining in education : global perspectives on quality, support, and decision-making /

. xxvi, 291 pages : 23 cm.. 9781138305908 (pbk)

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Information discovery on electronic health records /

. xviii, 313 pages : 25 cm.. 9781420090383 (hardbound : alk. paper)

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Social media data mining and analytics /

By Szabó, Gábor,. 1844 121 2019 . xxxv, 316 pages : , Includes index. About the Author GABOR SZABO, PHD, is a Senior Staff Software Engineer at Tesla and a former data scientist at Twitter, where he focused on predicting user behavior and content popularity in crowdsourced online services, and on modeling large-scale content dynamics. He also authored the PyCascading data processing library. GUNGOR POLATKAN, PHD, is a Tech Lead/Engineering Manager designing and implementing end-to-end machine learning and artificial intelligence offline/online pipelines for the LinkedIn Learning relevance backend. He was previously a machine learning scientist at Twitter, where he worked on topics such as ad targeting and user modeling. P. OSCAR BOYKIN, PHD, is a software engineer at Stripe where he works on machine learning infrastructure. He was previously a Senior Staff Engineer at Twitter, where he worked on data infrastructure problems. He is coauthor of the Scala big-data libraries Algebird, Scalding and Summingbird. ANTONIOS CHALKIOPOULOS, MSC, is a Distributed Systems Specialist. A system engineer who has delivered fast/big data projects in media, betting, and finance, he is now leading the effort on the Lenses platform for data streaming as a co-founder and CEO at https://lenses.stream. Permissions Request permission to reuse content from this site 24 cm. 9781118824856 (pbk.) | 1118824857

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Statistical data analytics : foundations for data mining, informatics, and knowledge discovery /

By Piegorsch, Walter W.. . xv, 470 pages : 25 cm. 9781118619650 (cloth : alk. paper) | 111861965X (cloth : alk. paper)

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Data science and analytics with Python /

By Rogel-Salazar, Jesus,. . xxxv, 376 pages ; , Dr. Jesús Rogel-Salazar is a Lead Data Scientist at IBM Data Science Studio and visiting researcher at the Department of Physics at Imperial College London, UK. He is also a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book ?Essential Matlab and Octave?, also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism and finance. Dr. Jesús Rogel-Salazar is a Lead Data Scientist at IBM Data Science Studio and visiting researcher at the Department of Physics at Imperial College London, UK. He is also a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book ?Essential Matlab and Octave?, also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism and finance. 24 cm.. 9781498742092 (pbk. : alk. paper)

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Predictive analytics for marketers : using data mining for business advantage /

By Leventhal, Barry,. . XVI, 251 pages ; , Dr Barry Leventhal is a leading UK authority on geodemographics and a marketing analytics expert. He is Emeritus Chair of the Census and Geodemographics Group (CGG), which is an advisory board of The Market Research Society (MRS) and a leading voice in the UK information industry. He was recently awarded the MRS Gold Medal Award - the association's rarest accolade, presented for the first time since 2008 - in recognition of his lifetime of exceptional achievement and contribution to the research profession. 24cm. 9780749479930 (alk. paper)

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Harness the power of Big Data : the IBM Big Data platform /

By Zikopoulos, Paul C.. . xxx, 248 p. : 23 cm.. 9780071808170 (pbk.) | 0071808175 (pbk.)

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Sexy little numbers : how to grow your business using the data you already have /

By Maex, Dimitri.. . viii, 257 pages : , Includes index. 22 cm.. 9780307888341 | 9780307888365 (ebook)

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Big data for small business /

By Marr, Bernard,. . xi, 242 pages ; , Includes index. 24 cm.. 9781119027034 | 1119027039

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Fundamentals of big data : network analysis for research and industry /

By Lee, Hyunjoung,. . xviii, 196 pages : 24 cm. 9781119015581 (cloth)

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Big data analytics : a practical guide for managers /

By Pries, Kim H.,. . xix, 556 pages ; , ABOUT THE AUTHOR/S Kim H. Pries has four college degrees: a bachelor of arts in history from the University of Texas at El Paso (UTEP), a bachelor of science in metallurgical engineering from UTEP, a master of science in engineering from UTEP, and a master of science in metallurgical engineering and materials science from Carnegie-Mellon University. Pries worked as a computer systems manager, a software engineer for an electrical utility, and a scientific programmer under a defense contract for Stoneridge, Incorporated (SRI). He has worked as software manager, engineering services manager, reliability section manager, and product integrity and reliability director. In addition to his other responsibilities, Pries has provided Six Sigma training for both UTEP and SRI and cost reduction initiatives for SRI. Pries is also a founding faculty member of Practical Project Management. Additionally, in concert with Jon Quigley, Pries was a cofounder and principal with Value Transformation, LLC, a training, testing, cost improvement, and product development consultancy. He trained for Introduction to Engineering Design and Computer Science and Software Engineering with Project Lead the Way. He currently teaches biotechnology, computer science and software engineering, and introduction to engineering design at the beautiful Parkland High School in the Ysleta Independent School District of El Paso, Texas. Robert Dunnigan is a manager with Janus Consulting Partners and is based in Dallas, Texas. He holds a bachelor of science in psychology and in sociology with an anthropology emphasis from North Dakota State University. He also holds a master of business administration from INSEAD, "the business school for the world," where he attended the Singapore campus. As a Peace Corps volunteer, Robert served over 3 years in Honduras developing agribusiness opportunities. As a consultant, he later worked on the Afghanistan Small and Medium Enterprise Development project in Afghanistan, where he traveled the country with his Afghan colleagues and friends seeking opportunities to develop a manufacturing sector in the country. Robert is an American Society for Quality–certified Six Sigma Black Belt and a Scrum Alliance–certified Scrum Master. 24 cm. 9781482234510

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Data mining : concepts and techniques /

By Han, Jiawei.. Burlington, MA : Elsevier, 2012 . xxxv, 703 p. : 25 cm.. 9780123814791

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Discovering knowledge in data : an introduction to data mining /

By Larose, Daniel T.. . xviii, 316 pages ; , Includes index. 25 cm. 9780470908747 (hardback)

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Data mining : practical machine learning tools and techniques /

By Witten, I. H. (Ian H.). . xxxii, 621 pages ; , Rev. edition of: Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall. c2013. 24 cm. 9780128042915

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Geographic data mining and knowledge discovery /

Boca Raton, FL : CRC Press, 2009 . 458 p. : 25 cm.. 9781420073973 (hard back : alk. paper)

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Data mining techniques : for marketing, sales, and customer relationship management /

By Linoff, Gordon S.. Indianapolis, IN : Wiley Pub., 2011 . xl, 847 p. : , Berry's name appears first on the 2nd ed. | Includes index. 24 cm.. 9780470650936 (pbk : alk. paper)

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Social media data mining and analytics /

By Szabó, Gábor,. 1844 121 2019 . 1 online resource (xxxv, 316 pages) : , Includes index. About the Author GABOR SZABO, PHD, is a Senior Staff Software Engineer at Tesla and a former data scientist at Twitter, where he focused on predicting user behavior and content popularity in crowdsourced online services, and on modeling large-scale content dynamics. He also authored the PyCascading data processing library. GUNGOR POLATKAN, PHD, is a Tech Lead/Engineering Manager designing and implementing end-to-end machine learning and artificial intelligence offline/online pipelines for the LinkedIn Learning relevance backend. He was previously a machine learning scientist at Twitter, where he worked on topics such as ad targeting and user modeling. P. OSCAR BOYKIN, PHD, is a software engineer at Stripe where he works on machine learning infrastructure. He was previously a Senior Staff Engineer at Twitter, where he worked on data infrastructure problems. He is coauthor of the Scala big-data libraries Algebird, Scalding and Summingbird. ANTONIOS CHALKIOPOULOS, MSC, is a Distributed Systems Specialist. A system engineer who has delivered fast/big data projects in media, betting, and finance, he is now leading the effort on the Lenses platform for data streaming as a co-founder and CEO at https://lenses.stream. Permissions Request permission to reuse content from this site 9781119183518 | 9781118824856 (pbk.)

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Big data analytics : methods and applications /

. xxiv, 402 pages; 27 cm. 9781773615042

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Data science using Python and R /

By Larose, Chantal D.,. . 1 online resource. , Author Bios CHANTAL D. LAROSE, PHD, is an Assistant Professor of Statistics & Data Science at Eastern Connecticut State University (ECSU). She has co-authored three books on data science and predictive analytics and helped develop data science programs at ECSU and SUNY New Paltz. Her PhD dissertation, Model-Based Clustering of Incomplete Data, tackles the persistent problem of trying to do data science with incomplete data. DANIEL T. LAROSE, PHD, is a Professor of Data Science and Statistics and Director of the Data Science programs at Central Connecticut State University. He has published many books on data science, data mining, predictive analytics, and statistics. His consulting clients include The Economist magazine, Forbes Magazine, the CIT Group, and Microsoft. 9781119526810 | 9781119526834 | 9781119526865

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Text mining in practice with R /

By Kwartler, Ted,. . 1 online resource (320 pages). , Includes index. 9781119282099 (pdf) | 9781119282082 (epub)

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A general introduction to data analytics /

By Moreira, João,. . 1 online resource. , ABOUT THE AUTHORS João Mendes Moreira, PhD, is an assistant professor in the Faculty of Engineering at the University of Porto, Porto, Portugal and is also a researcher in LIAAD-INESC TEC, Porto, Portugal. André de Carvalho, PhD, is a full professor in the Institute of Mathematics and Computer Science at the University of São Paulo, Brazil. Tomáš Horváth, PhD, is an assistant professor at the Faculty of Informatics of the Eötvös Loránd University in Budapest, Hungary, and is also associated with the Faculty of Science at the Pavol Jozef Šafárik University in Košice, Slovakia. 9781119296256 (pdf) | 9781119296263 (epub) | 9781119296294

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New challenges for knowledge : digital dynamics to access and sharing /

By Fabre, Renaud,. . 1 online resource (224 pages). 9781786300904 | 9781119378112 | 9781119378105

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Evolutionary computation in gene regulatory network research /

. 1 online resource (464 pages). , ABOUT THE AUTHOR Hitoshi Iba is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at the University of Tokyo, Tokyo, Japan. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the Journal of Genetic Programming and Evolvable Machines. Nasimul Noman is a Lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. From 2002 to 2012, he was a faculty member at the University of Dhaka, Bangladesh. Noman is an Editor of the BioMed Research International journal. His research interests include computational biology, synthetic biology, and bioinformatics. 9781119079774 (Adobe PDF) | 9781119079781 (ePub)

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Making sense of data I : a practical guide to exploratory data analysis and data mining /

By Myatt, Glenn J.,. . 1 online resource (248 pages). , ABOUT THE AUTHOR Glenn J. Myatt, PhD, is Chief Scientific Officer and Cofounder of Leadscope, Inc. The author of numerous journal articles, Dr. Myatt, is also the coauthor of Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications and Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations, both of which are published by Wiley. Wayne P. Johnson, MSc, is Cofounder of Leadscope, Inc., as well as a partner of Myatt & Johnson, Inc. He has over 35 years of experience in software engineering related to operating systems, telecommunications, and artificial intelligence at various companies including IBM, AT&T Bell Laboratories, and Ford Motor Company. He has led research projects related to informatics, and in addition to authoring numerous journal articles, Mr. Johnson is the coauthor of Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications and Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations, both of which are published by Wiley. 9781118422014 (pdf) | 9781118422106 (epub)

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Data mining : concepts, models, methods, and algorithms /

By Kantardzic, Mehmed.. . 1 online resource , ABOUT THE AUTHOR MEHMED KANTARDZIC, PHD, is a Professor in the Department of Computer Engineering and Computer Science (CECS) at the University of Louisville, and is Director of the Data Mining Lab and CECS Graduate Programs. He is a member of IEEE, ISCA, KAS, WSEAS, IEE, and SPIE. 9781118029145 (oBook ISBN) | 9781118029121 (ePDF ISBN)

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Business intelligence : data mining and optimization for decision making /

By Vercellis, Carlo,. . 1 online resource (436 pages) , ABOUT THE AUTHOR Carlo Vercellis - School of Management, Politecnico di Milano, Italy As well as teaching courses in Operations Research and Business Intelligence, Professor Vercellis is director of the research group MOLD (Mathematical Modeling, Optimization, Learning from Data). He has written four book in Italian, contributed to numerous other books, and has had many papers published in a variety of international journals. 9781119965473 | 9780470753866 (ebook)

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Data mining methods and models /

By Larose, Daniel T., . . 1 online resource (385 pages). , ABOUT THE AUTHOR DANIEL T. LAROSE, PhD, received his PhD in statistics from the University of Connecticut. An associate professor of statistics at Central Connecticut State University, he developed and directs Data Mining@CCSU, the world's first online master of science program in data mining. He has also worked as a data mining consultant for Connecticut-area companies. He is the author of Discovering Knowledge in Data: An Introduction to Data Mining (Wiley), and is currently working on the third book of his three-volume set on data mining: Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage (with Zdravko Markov, PhD), scheduled to be published by Wiley in 2006. 9780471756477 | 9780471756484 (ebook)

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Relational data clustering : models, algorithms, and applications /

By Long, Bo,. . xvi, 196 pages : 24 cm.. 9781420072617 (hbk. : alk. paper) | 1420072617 (hbk. : alk. paper)

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Data mining introductory and advanced topics /

By Dunham, Margaret H.. . xiii, 315 pages : 24 cm.. 0130888923 | 9780130888921

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Discovering knowledge in data : an introduction to data mining /

By Larose, Daniel T.. . xv, 222 pages : 25 cm.. 0471666572 (cloth) | 9780471666578

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Text mining : applications and theory /

. xiv, 207 p. : 24 cm.. 9780470749821 (hbk.) | 0470749822 (hbk.)

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A practical guide to data mining for business and industry /

By Ahlemeyer-Stubbe, Andrea.. . xx, 303 pages : 24 cm. 9781119977131 (cloth)

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Fuzzy modeling and genetic algorithms for data mining and exploration /

By Cox, Earl,. . xxi, 530 pages : 24 cm.. 0121942759 (acidfree) | 9780121942755

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Data mining : opportunities and challenges /

By Wang, John,. . xiii, 468 pages : , Originally published: Hershey, PA : Idea Group Pub., 2003. 26 cm.. 1931777837 (paper) | 9781931777834

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Data mining : a tutorial-based primer /

By Roiger, Richard J.. . xxii, 350 pages : 23 cm. . 0201741288 (pbk.) | 9780201741285

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Building an intelligent Web : theory and practice /

By Akerkar, Rajendra,. . xi, 326 pages : 24 cm.+. 9780763741372 | 076374137X

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Data mining : practical machine learning tools and techniques /

By Witten, I. H.. . xxxiii, 629 pages : 24 cm.. 9780123748560 (pbk.) | 0123748569 (pbk.)

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Commercial data mining : processing, analysis and modeling for predictive analytics projects /

By Nettleton, David,. . xi, 288 pages ; 23 cm. 9780124166028 (paperback)

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Big data, data mining and machine learning : value creation for business leaders and practitioners /

By Dean, Jared,. . xix, 265 pages : 24 cm.. 9781118618042 (hardback)

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Business information : finding and using data in the digital age /

By Zagorsky, Jay L.. 2003 . xi, 276 p. : 24 cm.. 0072507705

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Data mining for genomics and proteomics : analysis of gene and protein expression data /

By Dziuda, Darius M.. . xvii, 319 p., [8] p. of plates : 25 cm.. 9780470163733 (cloth) | 0470163739 (cloth)

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Data mining and statistical analysis using SQL /

By Trueblood, Robert P.,. . xvi, 410 pages : , Includes index. 24 cm.. 1893115542

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Mining of massive datasets /

By Rajaraman, Anand.. . 1 online resource (327 pages) : 9781139058452

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A practical guide to analytics for governments : using big data for good /

. 1 online resource (xv, 224 pages) : , Includes index. ABOUT THE AUTHOR MARIE LOWMAN is a principal industry consultant-government at SAS Institute. For more than two decades, she has overseen SAS's commitment to helping government organizations provide high-quality services to their constituents, while maximizing resources and budgets. 9781119362517

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An application that talks and listens: manipulating text for mobile short messaging system /

By Duites, Deep Xavier T.. . vii, 17, A-12, b-14 pages : 28 cm..

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Machine-assisted human translation for English to Tagalog and vice versa / Larmie T.S. Feliscuzo.

By Feliscuzo, Larmie T.S.. . v, 30 pages : 28 cm..

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Data science using Python and R /

By Larose, Chantal D.,. . 1 online resource (256 pages). , ABOUT THE AUTHOR CHANTAL D. LAROSE, PHD, is an Assistant Professor of Statistics & Data Science at Eastern Connecticut State University (ECSU). She has co-authored three books on data science and predictive analytics and helped develop data science programs at ECSU and SUNY New Paltz. Her PhD dissertation, Model-Based Clustering of Incomplete Data, tackles the persistent problem of trying to do data science with incomplete data. DANIEL T. LAROSE, PHD, is a Professor of Data Science and Statistics and Director of the Data Science programs at Central Connecticut State University. He has published many books on data science, data mining, predictive analytics, and statistics. His consulting clients include The Economist magazine, Forbes Magazine, the CIT Group, and Microsoft. 9781119526810 | 9781119526834 | 9781119526865 | 9781119526841

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Data mining and learning analytics : applications in educational research /

. 1 online resource (xxviii, 283 pages) : , ABOUT THE AUTHOR Samira ElAtia is Associate Professor of Education at The University of Alberta, Canada. She has published numerous articles and book chapters on topics relating to the use of technology to support pedagogical research and education in higher education. Her current research focuses on using e-learning environment and big data for fair and valid longitudinal assessment of, and for, learning within higher education. Donald Ipperciel is Principal and Professor at Glendon College, York University, Toronto, Canada and was the Canadian Research Chair in Political Philosophy and Canadian Studies between 2002 and 2012. He has authored several books and has contributed chapters and articles in more than 60 publications. Ipperciel has dedicated many years of research on the questions of e-learning and using technology in education. He is co-editor of the Canadian Journal of Learning and Technology since 2010. Osmar R. Zaiane is Professor of Computing Science at the University of Alberta, Canada and Scientific Director of the Alberta Innovates Centre of Machine Learning. A renowned researcher and computer scientist, Dr. Zaiane is former Secretary Treasurer of the Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining. He obtained the IEEE ICDM Outstanding Service Aware in 2009 as well as the ACM SIGKDD Service Award the following year. 9781118998236 (cloth) | 9781118998205

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