000 | 03636nam a22005295i 4500 | ||
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001 | 978-3-319-18781-5 | ||
003 | DE-He213 | ||
005 | 20180206182957.0 | ||
007 | cr nn 008mamaa | ||
008 | 150707s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319187815 _9978-3-319-18781-5 |
||
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
|
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_a006.3 _223 |
245 | 1 | 0 |
_aChallenges in Computational Statistics and Data Mining _h[recurso electrónico] / _cedited by Stan Matwin, Jan Mielniczuk. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aX, 399 p. 73 illus., 3 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aData mining. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aStatistics. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aMatwin, Stan. _eeditor. |
|
700 | 1 |
_aMielniczuk, Jan. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319187808 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v605 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-18781-5 |
912 | _aZDB-2-ENG | ||
942 | _cLIBRO_ELEC | ||
999 |
_c225922 _d225922 |