LEADER 05806nam 22008055 450 001 996465482103316 005 20200630012436.0 010 $a3-642-33492-X 024 7 $a10.1007/978-3-642-33492-4 035 $a(CKB)3280000000002185 035 $a(SSID)ssj0000788955 035 $a(PQKBManifestationID)11428961 035 $a(PQKBTitleCode)TC0000788955 035 $a(PQKBWorkID)10723945 035 $a(PQKB)10570932 035 $a(DE-He213)978-3-642-33492-4 035 $a(MiAaPQ)EBC3069935 035 $a(PPN)168324652 035 $a(EXLCZ)993280000000002185 100 $a20121026d2012 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDiscovery Science$b[electronic resource] $e15th International Conference, DS 2012, Lyon, France, October 29-31, 2012, Proceedings /$fedited by Jean-Gabriel Ganascia, Philippe Lenca, Jean-Marc Petit 205 $a1st ed. 2012. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012. 215 $a1 online resource (XIV, 329 p. 77 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v7569 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-33491-1 320 $aIncludes bibliographical references and index. 327 $aDeclarative Modeling for Machine Learning and Data Mining -- Recent Developments in Pattern Mining -- Exploring Sequential Data -- Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers -- Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting -- Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning -- Towards Finding Relational Redescriptions -- Descriptive Modeling of Systemic Banking Crises -- A Trim Distance between Positions in Nucleotide Sequences -- Data Squashing for HSV Subimages by an Autonomous Mobile Robot -- Cohesive Co-evolution Patterns in Dynamic Attributed Graphs -- Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming -- HCAC: Semi-supervised Hierarchical Clustering Using Confidence- Based Active Learning -- LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity -- Fast Approximation Algorithm for the 1-Median Problem -- Online Co-regularized Algorithms -- Fast Progressive Training of Mixture Models for Model Selection -- Including Spatial Relations and Scales within Sequential Pattern Extraction -- Predicting Ramp Events with a Stream-Based HMM Framework -- Burst Detection in a Sequence of Tweets Based on Information Diffusion Model -- Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction -- An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML -- Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search -- Enhancing Patent Expertise through Automatic Matching with Scientific Papers -- Soft Threshold Constraints for Pattern Mining. 330 $aThis book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012. The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The scope of this conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, tools for supporting the human process of discovery in science, as well as their application to knowledge discovery. 410 0$aLecture Notes in Artificial Intelligence ;$v7569 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aApplication software 606 $aDatabase management 606 $aData mining 606 $aAlgorithms 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 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 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 608 $aConference proceedings.$2fast 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aData mining. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a500 702 $aGanascia$b Jean-Gabriel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLenca$b Philippe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPetit$b Jean-Marc$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Conference on Discovery Science 906 $aBOOK 912 $a996465482103316 996 $aDiscovery Science$9772321 997 $aUNISA