机读格式显示(MARC)
- 000 02159cam a2200337 i 4500
- 008 191003s2020 enka b 001 0 eng
- 020 __ |a 9781108473989 |c CNY513.61
- 040 __ |a DLC |b eng |e rda |d rda |c DLC
- 050 _4 |a QA76.9.D343 |b Z36 2020
- 100 1_ |a Zaki, Mohammed J., |d 1971- |e author.
- 240 10 |a Data mining and analysis
- 245 10 |a Data mining and machine learning : |b fundamental concepts and algorithms / |c Mohammed J. Zaki, Wagner Meira, Jr.
- 260 __ |a Cambridge, United Kingdom ; New York, NY : |b Cambridge University Press, |c 2020.
- 300 __ |a xii, 766 pages : |b illustrations ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 500 __ |a Revised edition of: data mining and analysis. 2014.
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning"-- |c Provided by publisher.
- 700 1_ |a Meira, Wagner, |d 1967- |e author.
- 776 08 |i Online version: |a Zaki, Mohammed J., 1971- |t Data mining and machine learning |b 2. |d Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2020. |z 9781108564175 |w (DLC) 2019037294