000			03520nam a22004215i 4500
001			84625
003			ES-MaUEC
005			20240430121709.0
007			cr nn 008mamaa
008			150707s2016 gw | s |||| 0|eng d
020			_a9783319187815
040			_aES-MaUEC
050		4	_aQA276 _b.C435 2016
082	0	4	_a006.3
245	1	0	_aChallenges in Computational Statistics and Data Mining _cedited by Stan Matwin, Jan Mielniczuk
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (X, 399 p.) _b73 ilustraciones, 3 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aStudies in Computational Intelligence _x1860-949X _v605
505	0		_aEvolutionary Computation for Real-world Problems -- Selection of Significant Features Using Monte Carlo Feature Selection -- ADX Algorithm for Supervised Classification -- Estimation of Entropy from Subword Complexity -- Exact Rates of Convergence of Kernel-based Classification Rule -- Compound Bipolar Queries: a Step Towards an Enhanced Human Consistency and Human Friendliness -- Process Inspection by Attributes Using Predicted Data -- Székely Regularization for Uplift Modeling -- Dominance-Based Rough Set Approach to Multiple Criterion Ranking with Sorting-specific Preference Information -- On things not Seen -- Network Capacity Bound for Personalized Bipartite Page Rank -- Dependence Factor as a Rule Evaluation Measure -- Recent Results on Quantlie Estimation Methods in Simulation Model -- Adaptive Monte Carlo Maximum Likelihood -- What Do we Choose when we Err? Model Selection and Testing for Misspecified Logistic Regression Revisited -- Semiparametric Inference Identification of Block-oriented Systems -- Dealing with Data Difficulty Factors While Learning from Imbalanced Data -- Privacy Protection in a Time of Big Data -- Data Based Modeling.
520			_aThis volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book s related and often interconnected topics, represent Jacek Koronacki s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988	0	0	_aEBOOK, EBSPRINGER
650		7	_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115
650	0	7	_aIngeniería _vCongresos y asambleas _0LocalX _2embne _9670301
650	0	7	_aData mining _0LocalX _2embne _9162648
700	1		_aMatwin, Stan _eeditor literario _0Local _996941
700	1		_aMielniczuk, Jan. _eeditor literario _996942 _0Local
830		0	_aStudies in Computational Intelligence _x1860-949X _v605 _9134093
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-18781-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319187815
907			_a.b12939031 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aQA276 .C435 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i1158354x _z06-04-17
999			_c84625 _d84625 _x1