LEADER 00852nam0-22002771i-450- 001 990001621690403321 005 20050225094254.0 035 $a000162169 035 $aFED01000162169 035 $a(Aleph)000162169FED01 035 $a000162169 100 $a20030910d1908----km-y0itay50------ba 101 0 $ager 200 1 $aSeismogramme des Japanischen Erdbebens am 21. januar 1906$fSiegmund Szirtes 210 $aStrassburg$cBureau Central de l' Association Internationale de Sismologie$d1908 215 $a50 p.$d28 cm 610 0 $aSismologia 676 $a551.22 700 1$aSzirtes,$bSiegmund$069207 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001621690403321 952 $a60 551 B 66$b13174$fFAGBC 959 $aFAGBC 996 $aSeismogramme des Japanischen Erdbebens am 21. januar 1906$9369751 997 $aUNINA LEADER 01193nam--2200373---450- 001 990001768490203316 005 20050415141123.0 010 $a88-222-5161-X 035 $a000176849 035 $aUSA01000176849 035 $a(ALEPH)000176849USA01 035 $a000176849 100 $a20040617d2002----km-y0itay0103----ba 101 0 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aDiari 1940-1945$fErnesto Balducci 210 $aFirenze$cL. Olschki$d2002 215 $av.$d23 cm 225 2 $aBiblioteca di Storia Toscana moderna e contemporanea$iStudi e Documenti$v50 327 1 $a : 1940-1943. A cura di Maria Paiano. - CV, 314 p. 410 0$12001$aBiblioteca di Storia Toscana moderna e contemporanea$iStudi e Documenti$v50 676 $a271.5802 700 1$aBALDUCCI,$bErnesto$0160111 702 1$aPAIANO,$bMaria 801 0$aIT$bsalbc$gISBD 912 $a990001768490203316 951 $aII.2. 803/1(III E Coll. 49/50.1)$b170847 L.M.$cIII E Coll.$d00089902 959 $aBK 969 $aUMA 979 $aSIAVER$b90$c20040617$lUSA01$h1730 979 $aCOPAT3$b90$c20050415$lUSA01$h1411 996 $aDiari 1940-1945$9952285 997 $aUNISA LEADER 06180nam 22008055 450 001 9910484839703321 005 20251226193435.0 010 $a3-540-73435-X 024 7 $a10.1007/978-3-540-73435-2 035 $a(CKB)1000000000490240 035 $a(SSID)ssj0000315956 035 $a(PQKBManifestationID)11278089 035 $a(PQKBTitleCode)TC0000315956 035 $a(PQKBWorkID)10256698 035 $a(PQKB)10474840 035 $a(DE-He213)978-3-540-73435-2 035 $a(MiAaPQ)EBC3067632 035 $a(PPN)123163455 035 $a(EXLCZ)991000000000490240 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Data Mining - Theoretical Aspects and Applications $e7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings /$fedited by Petra Perner 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XI, 356 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4597 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-73434-1 320 $aIncludes bibliographical references and index. 327 $aInvited Talk -- Case Based Reasoning and the Search for Knowledge -- Aspects of Classification and Prediction -- Subsets More Representative Than Random Ones -- Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme -- An Efficient Algorithm for Instance-Based Learning on Data Streams -- Softening the Margin in Discrete SVM -- Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System -- Outlier Detection with Streaming Dyadic Decomposition -- VISRED ?Numerical Data Mining with Linear and Nonlinear Techniques -- Clustering -- Clustering by Random Projections -- Lightweight Clustering Technique for Distributed Data Mining Applications -- Web Mining -- Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach -- Improved IR in Cohesion Model for Link Detection System -- Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web -- Data Mining in Medicine -- ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients -- The Role of Prototypical Cases in Biomedical Case-Based Reasoning -- Applications of Data Mining -- A Search Space Reduction Methodology for Large Databases: A Case Study -- Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press -- Active Learning Strategies: A Case Study for Detection of Emotions in Speech -- Neural Business Control System -- A Framework for Discovering and Analyzing Changing Customer Segments -- Collaborative Filtering Using Electrical Resistance Network Models -- Visual Query and Exploration System for Temporal Relational Database -- Towards an Online Image-Based Tree Taxonomy -- Distributed Generative Data Mining -- Time Series andFrequent Pattern Mining -- Privacy-Preserving Discovery of Frequent Patterns in Time Series -- Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits -- Association Minnig -- Using Disjunctions in Association Mining. 330 $aICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the ?White Gold? of King August the Strongest of Saxonia ICDM 2007 was the seventh event in the Industrial Conference on Data Mining series and was held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 96 submissions from 24 countries (see Fig. 1). After the peer-review process, we accepted 25 high-quality papers for oral presentation that are included in this proceedings book. The topics range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Germany 9,30% 4,17% China 9,30% 1,04% 6,98% 3,13% South Korea Czech Republic 6,98% 3,13% USA 6,98% 2,08% 4,65% 2,08% UK Portugal 4,65% 2,08% Iran 4,65% 2,08% India 4,65% 2,08% Brazil 4,65% 1,04% Hungary 4,65% 1,04% Mexico 4,65% 1,04% Finland 2,33% 1,04% Ireland 2,33% 1,04% Slovenia 2,33% 1,04% France 2,33% 1,04% Israel 2,33% 1,04% Spain 2,33% 1,04% Greece 2,33% 1,04% Italy 2,33% 1,04% Sweden 2,33% 1,04% Netherlands 2,33% 1,04% Malaysia 2,33% 1,04% Turkey 2,33% 1,04% Fig. 1. Distribution of papers among countries Twelve papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4597 606 $aDatabase management 606 $aPattern recognition systems 606 $aComputer vision 606 $aData mining 606 $aApplication software 606 $aArtificial intelligence 606 $aDatabase Management 606 $aAutomated Pattern Recognition 606 $aComputer Vision 606 $aData Mining and Knowledge Discovery 606 $aComputer and Information Systems Applications 606 $aArtificial Intelligence 615 0$aDatabase management. 615 0$aPattern recognition systems. 615 0$aComputer vision. 615 0$aData mining. 615 0$aApplication software. 615 0$aArtificial intelligence. 615 14$aDatabase Management. 615 24$aAutomated Pattern Recognition. 615 24$aComputer Vision. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer and Information Systems Applications. 615 24$aArtificial Intelligence. 676 $a005.74 701 $aPerner$b Petra$0564935 712 12$aIndustrial Conference on Data Mining 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484839703321 996 $aAdvances in Data Mining - Theoretical Aspects and Applications$94522526 997 $aUNINA