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010 _a 2019037294
020 _a9781108564175
_q(epub)
020 _z9781108473989
_q(hardback)
040 _aDLC
_beng
_cinaya medical colleges
_erda
042 _apcc
050 0 0 _aQA76.9.D343
082 0 0 _a006.312
_223
100 1 _aZaki, Mohammed J.,
_d1971-
_eauthor.
240 1 0 _aData mining and analysis
245 1 0 _aData mining and machine learning :
_bfundamental concepts and algorithms /
_cMohammed J. Zaki, Wagner Meira, Jr.
263 _a1912
264 1 _aCambridge, United Kingdom ; New York, NY :
_bCambridge University Press,
_c2020.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aRevised edition of: Data mining and analysis. 2014.
504 _aIncludes 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"--
_cProvided by publisher.
588 _aDescription based on print version record and CIP data provided by publisher; resource not viewed.
650 0 _aData mining.
700 1 _aMeira, Wagner,
_d1967-
_eauthor.
776 0 8 _iPrint version:
_aZaki, Mohammed J., 1971-
_tData mining and machine learning
_dCambridge, United Kingdom ; New York, NY : Cambridge University Press, 2020.
_z9781108473989
_w(DLC) 2019037293
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cBK