000			nam a22 7a 4500
999			_c29310 _d29310
008			190613b xxu||||| |||| 00| 0 eng d
020			_a9783030002701
082			_a519.535 _bMIR
100			_a Mirkin, Boris
245			_aCore data analysis : summarization, correlation, and visualization
250			_a2nd ed.
260			_bSpringer, _c2019 _aCham :
300			_axv, 524 p. : _bill. ; _c24 cm.
365			_b59.99 _cEUR _d00
490			_aUndergraduate topics in computer science
504			_aIncludes bibliographical references and index.
520			_aThis text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of mathematically supported insights into the methods and relations between them. Two Chapters describe methods for categorical summarization: partitioning, divisive clustering and separate cluster finding and another explain the methods for quantitative summarization, Principal Component Analysis and PageRank.
650			_aData mining
650			_aMathematical statistics
650			_aData processing
942			_2ddc _cBK