Data Mining Concepts, Models, Methods, and Algorithms, 3rd Edition

The revised and updated third edition of??Data Mining??contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The authora noted expert on the topicexplains the basic concepts, models, and methodologies that have been developed in recent years.
This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that:
Explores big data and cloud computingExamines deep learningIncludes information on convolutional neural networks (CNN)Offers reinforcement learningContains semi-supervised learning and S3VMReviews model evaluation for unbalanced data
Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.


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