LEADER 06966nam 22008775 450 001 996465567803316 005 20200629212031.0 010 $a3-642-23184-5 024 7 $a10.1007/978-3-642-23184-1 035 $a(CKB)2550000000054773 035 $a(SSID)ssj0000609077 035 $a(PQKBManifestationID)11423329 035 $a(PQKBTitleCode)TC0000609077 035 $a(PQKBWorkID)10609395 035 $a(PQKB)11427667 035 $a(PQKBManifestationID)16376019 035 $a(PQKB)22054036 035 $a(DE-He213)978-3-642-23184-1 035 $a(MiAaPQ)EBC3067091 035 $a(PPN)156315270 035 $a(EXLCZ)992550000000054773 100 $a20110816d2011 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances on Data Mining: Applications and Theoretical Aspects$b[electronic resource] $e11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 ? September 3, 2011, Proceedings /$fedited by Petra PErner 205 $a1st ed. 2011. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2011. 215 $a1 online resource (XI, 329 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v6870 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-23183-7 320 $aIncludes bibliographical references and index. 327 $tImprovements over adaptive local hyperplane to achieve better classification /$rHongmin Cai --$tPrognostic models based on linear separability /$rLeon Bobrowski --$tOne class classification for anomaly detection : support vector data description revisited /$rEric J. Pauwels and Onkar Ambekar --$tHow to interpret decision trees? /$rPetra Perner --$tComparing classifiers and metaclassifiers /$rElio Lozano and Edgar Acun?a --$tFast data acquisition in cost-sensitive learning /$rVictor S. Sheng --$tApplications of a unified medical data miner (UMDM) for prediction, classification, interpretation and visualization on medical datasets : the diabetes dataset case /$rNawaz Mohamudally and Dost Muhammad Khan --$tMelanoma diagnosis and classification web center system : the non-invasive diagnosis support subsystem /$rWies?aw Paja and Mariusz Wrzesien? --$tCharacterizing cell types through differentially expressed gene clusters using a model-based approach /$rJuliane Perner and Elena Zotenko --$tExperiments with hybridization and optimization of the rules knowledge base for classification of MMPI profiles /$rJerzy Gomu?a ... (et al.) --$tUnsupervised classification of hyperspectral images on spherical manifolds /$rDalton Lunga and Okan Ersoy --$tRecognition of porosity in wood microscopic anatomical images /$rShen Pan and Mineichi Kudo --$tExploratory hierarchical clustering for management zone delineation in precision agriculture /$rGeorg Russ and Rudolf Kruse --$tHigh classification rates for continuous cow activity recognition using low-cast GPS positioning sensors and standard machine learning techniques /$rTorben Godsk and Mikkel Baun Kjaergaard --$tMining pixel evolutions in satellite image time series for agricultural monitoring /$rAndreea Julea ... (et al.) --$tRobust, non-redundant feature selection for yield analysis in semiconductor manufacturing /$rEric St. Pierre and Eugen Tuv --$tIntegrated use of ICA and ANN to recognize the mixture control chart patterns in a process /$rYuehjen E. Shao, Yini Lin, and Ya-Chi Chan --$tOptimized fuzzy decision tree data mining for engineering applications /$rLiam Evans and Niels Lohse --$tGraph-based data warehousing using the core-facets model /$rDung N. Lam, Alexander Y. Liu, and Cheryl E. Martin --$tGeneral sales forecast models for automobile markets based on time series analysis and data mining techniques /$rMarco Hu?lsmann ... (et al.) --$tTowards a spatial instance learning method for deep web pages /$rErmelinda Oro and Massimo Ruffolo --$tApplying user signatures on fraud detection in telecommunications networks /$rJoa?o Lopes, Orlando Belo, and Carlos Vieira --$tMethods in case-based classification in bioinformatics : lessons learned /$rIsabelle Bichindaritz --$tPrediction of batch-end quality for an industrial polymerization process /$rGeert Gins ... (et al.). 330 $aThis book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing,  data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining. 410 0$aLecture Notes in Artificial Intelligence ;$v6870 606 $aData mining 606 $aMultimedia information systems 606 $aOptical data processing 606 $aApplication software 606 $aDatabase management 606 $aArtificial intelligence 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aMultimedia Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I18059 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 608 $aKongress$zNew York (NY)$y2011. 608 $aConference proceedings.$2fast 610 1 $aICDM 615 0$aData mining. 615 0$aMultimedia information systems. 615 0$aOptical data processing. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aMultimedia Information Systems. 615 24$aImage Processing and Computer Vision. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aDatabase Management. 615 24$aArtificial Intelligence. 676 $a006.3/12 686 $aDAT 703f$2stub 686 $aDAT 708f$2stub 686 $aDAT 825f$2stub 686 $aSS 4800$2rvk 702 $aPErner$b Petra$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aIndustrial Conference on Data Mining 906 $aBOOK 912 $a996465567803316 996 $aAdvances on Data Mining: Applications and Theoretical Aspects$92831410 997 $aUNISA