机读格式显示(MARC)
- 000 01995cam a2200361 i 4500
- 008 181102t20202020njua b 001 0 eng d
- 016 7_ |a 019712392 |2 Uk
- 020 __ |a 9781119516040 |q hardcover
- 020 __ |a 1119516048 |q hardcover
- 035 __ |a (OCoLC)1060198584
- 040 __ |a YDX |b eng |e rda |c YDX |d OCLCQ |d YDX |d YDXIT |d OCLCF |d FIE |d UKMGB
- 050 _4 |a QA76.9.D343 |b K36 2020
- 099 __ |a CAL 022020018056
- 100 1_ |a Kantardzic, Mehmed, |e author.
- 245 10 |a Data mining : |b concepts, models, methods, and algorithms / |c Mehmed Kantardzic.
- 264 _1 |a Hoboken, New Jersey : |b John Wiley & Sons, Inc. ; |a Piscataway, NJ : |b IEEE Press, |c [2020]
- 300 __ |a xix, 639 pages ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references (pages 607-631) and index.
- 520 __ |a 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. -- |c Provided by publisher.