02326nam a22002177a 4500003000400000005001700004008004100021020002200062040000800084082001600092100003000108245005900138250001100197260004900208300001600257520159800273650002901871942001901900952017401919999001502093AIT20230828173559.0230828b ii ||||| |||| 00| 0 eng d a978-1-119-51604-0 cAIT a005.74bKAN aKantardzic, Mehmed913537 aData Mining: Concepts, Models, Methods, and Algorithms a3rd ed aNew Jersey,bJohn Wiley & Sons, Inc ;c2020. axix, 639 p. aPresents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces 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 author―a noted expert on the topic―explains 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 computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews 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. aData Mining I MCA913538 2ddccMCA_BKn0 00102ddc4070aAITbAITd2023-08-18eBook Paradise Bill No: 96725 dtd: 18/07/2023l0o005.74 HANpMCA01260r2023-08-28w2023-08-28yMCA_BKzMCAA96725B08-08-2023D10% c7085d7085