000 03067nam a22004575i 4500
001 978-3-642-23166-7
003 DE-He213
005 20140220083300.0
007 cr nn 008mamaa
008 111108s2012 gw | s |||| 0|eng d
020 _a9783642231667
_9978-3-642-23166-7
024 7 _a10.1007/978-3-642-23166-7
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aHolmes, Dawn E.
_eeditor.
245 1 0 _aData Mining: Foundations and Intelligent Paradigms
_h[electronic resource] :
_bVolume 1: Clustering, Association and Classification /
_cedited by Dawn E. Holmes, Lakhmi C. Jain.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXVI, 336 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v23
505 0 _aIntroductory Chapter -- Clustering Analysis in Large Graphs with Rich Attributes -- Temporal Data Mining: Similarity-Profiled Association Pattern -- Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification -- Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets -- Randomized Algorithm of Finding the True Number of Clusters Based on Chebychev Polynomial Approximation -- Bregman Bubble Clustering: A Robust Framework for Mining Dense Clusters -- DepMiner: A method and a system for the extraction of significant dependencies -- Integration of Dataset Scans in Processing Sets of Frequent Itemset Queries -- Text Clustering with Named Entities: A Model, Experimentation and Realization -- Regional Association Rule Mining and Scoping from Spatial Data -- Learning from Imbalanced Data: Evaluation Matters.
520 _aData mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 1of this three volume series, we have brought together contributions from some of the most prestigious researchers in the fundamental data mining tasks of clustering, association and classification. Each of the chapters is self contained. Theoreticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in these aspects of data mining.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aJain, Lakhmi C.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642231650
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v23
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-23166-7
912 _aZDB-2-ENG
999 _c102134
_d102134