Data Mining
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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
By Ian H. Witten, Eibe FrankShawe-Taylor, J., and N Cristianini. 2004. Kernel methods for pattern analysis. Cambridge, UK: Cambridge University Press. Smola, A. J., and B. Schölkopf. 2004. A tutorial on support vector regression.
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Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
By Ian H. Witten, Eibe FrankThis book offers a thorough grounding in machine learning concepts combined with practical advice on applying machine learning tools and techniques in real-world data mining situations.
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Data Mining: Techniques And Trends
By Gopalan & SivaselvanData Mining: Techniques And Trends
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Data Mining: Know It All
By Ian H. Witten, Eibe Frank, Toby J. TeoreyThis book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.
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Data Mining: Concepts and Techniques
By Jiawei Han, Micheline Kamber, Jian PeiP. S. Yu, J. Han, and C. Faloutsos. Link Mining: Models, Algorithms and Applications. New York: Springer, 2010. X. Yin, J. Han, and P. S. Yu. Cross-relational clustering with user's guidance. In Proc. 2005 ACM SIGKDD Int. Conf.
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DATA MINING: Predicting Tipping Points
By PhD, Dr. Philip GordonMCCARTHY, James J., CANZIANI, Osvald F., LEARY, Neil A., DOKKEN, David J., and WHITE, Kasey S., Working Group II: Impacts, Adaptation and Vulnerability, Geneva, ... MOONEY, Chris, The Republican War on Science, New York, Basic.
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Data Mining: Concepts and Techniques
By Jiawei HanData warehouse and OLAP technology for data mining. Data preprocessing. Data mining primitives, languages, and system architecture. Concept description: characterization and comparison. Mining association rules in large databases.
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Data Mining: Concepts and Techniques
By Jiawei HanExpanding and updating the premier professional reference on data mining concepts and techniques, the second edition of this comprehensive and state-of-the-art text combines sound theory with truly practical applications to prepare database ...
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Data Mining: Opportunities and Challenges
By John WangThe main tasks that comprise Web mining include retrieving Web documents , selection and processing of Web ... The other main approach , which is to content mine semi - structured documents , uses many of the same techniques as used for ...
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Data Mining: Practical Machine Learning Tools and Techniques
By Mark A. Hall, Ian H. Witten, Eibe FrankThe book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, ...
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Data Mining: Concepts and Techniques
By Jiawei Han, Jian Pei, Hanghang TongSpecifically, it explains data mining and the tools used in discovering knowledge from collected data, known as KDD. The book focuses on the feasibility, usefulness, effectiveness and scalability of techniques of large datasets.
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Data Mining: A Tutorial-Based Primer, Second Edition
By Richard J. RoigerThe text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem.
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Data Mining: Theories, Algorithms, and Examples
By Nong YeThe book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through ...
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Data Mining
By Pieter AdriaansData Mining
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Data Mining: Verfahren, Prozesse, Anwendungsarchitektur
By Helge PetersohnDie Grundprinzipien der Kombination genetischer Algorithmen mit Data Mining - Algorithmen werden auf diese Weise ... Zu den bekanntesten Vertretern evolutionärer Algorithmen gehören genetische Algorithmen , Evolutionsstrategien und ...
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Data Mining: Theory, Methodology, Techniques, and Applications
By Graham J. WilliamsRabiner, L.R.: A Tutorial on Hidden Markov Models and Selected Applications in Speech ... Homeland Security and Geographic Information Systems – How GIS and mapping technology can save lives and protect property in post-September 11th ...
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Data Mining: 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings
By Graham Williams, Yanchang Zhao, Yue XuThis book constitutes the refereed proceedings of the 19th Australasian Conference on Data Mining, AusDM 2021, held in Brisbane, Queensland, Australia, in December 2021.* The 16 revised full papers presented were carefully reviewed and ...
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Data Mining: Multimedia, Soft Computing, and Bioinformatics
By Sushmita Mitra, Tinku AcharyaFirst title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for...
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Data Mining: 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings
By Graham Williams, Lin Liu, Yanchang Zhao2.1 Social Media for Population Health Analytics Apart from the feasibility of monitoring individual health-related concerns, social media could also contributed to better understanding population health perspective, forming a new field ...
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Data Mining: Practical Machine Learning Tools and Techniques
By Mark A. Hall, Ian H. Witten, Eibe FrankThis 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 ...