000			01527nmm a22003137a 4500
003			SPU
005			20210703214408.0
008			210518b2016 enk|||||o|||| 00| 0 eng d
020			_a9781447173076 (E-book)
040			_aSPU
049			_amain
050		4	_aQA 76.9.D343 _bB72P 2016
100			_aBramer, M. A. _d1948- _9242269
245	1	0	_aPrinciples of data mining / _cMax Bramer _h[electronic resource]
250			_aThird edition
260			_aLondon, United Kingdom : _bSpringer, _c2016
300			_a1 online resource (xv, 526 pages) : _billustrations.
449			_a111113
490	1		_aUndergraduate topics in computer science, _x1863-7310
504			_aIncludes bibliographical references and index
505			_aIntroduction to Data Mining -- Data for Data Mining -- Introduction to Classification: Na ̈ıve Bayes and Nearest Neighbour -- Using Decision Trees for Classification -- Decision Tree Induction: Using Entropy for Attribute Selection -- Decision Tree Induction : Using Frequency Tables for Attribute Selection -- Estimating the Predictive Accuracy of a Classifier -- Continuous Attributes -- Avoiding Overfitting of Decision Trees -- More About Entropy
650		0	_aDATA MINING _954308
830			_aUndergraduate topics in computer science. _x1863-7310 _9238211
850			_aSPU
856	4	0	_uhttps://drive.google.com/file/d/1ax4MTloHFrnL8isZG0MC_vG9eHXdYZFB/view?usp=sharing _yView Full-text
910			_aLibrary _bSpringer _c180521
942			_2lcc _cEBK
998			_aniparat 0521
999			_c201773