LEADER 06305nam 22008415 450 001 9910483621003321 005 20251226195057.0 010 $a3-642-16184-7 024 7 $a10.1007/978-3-642-16184-1 035 $a(CKB)2670000000056639 035 $a(SSID)ssj0000446424 035 $a(PQKBManifestationID)11327272 035 $a(PQKBTitleCode)TC0000446424 035 $a(PQKBWorkID)10496098 035 $a(PQKB)10057121 035 $a(DE-He213)978-3-642-16184-1 035 $a(MiAaPQ)EBC3066075 035 $a(PPN)149890699 035 $a(BIP)32335734 035 $a(EXLCZ)992670000000056639 100 $a20101102d2010 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDiscovery Science $e13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010, Proceedings /$fedited by Bernahrd Pfahringer, Geoff Holmes, Achim Hoffman 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XIII, 384 p. 108 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v6332 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-16183-9 320 $aIncludes bibliographical references and index. 327 $aSentiment Knowledge Discovery in Twitter Streaming Data -- A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation -- Topology Preserving SOM with Transductive Confidence Machine -- An Artificial Experimenter for Enzymatic Response Characterisation -- Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining -- On Enumerating Frequent Closed Patterns with Key in Multi-relational Data -- Why Text Segment Classification Based on Part of Speech Feature Selection -- Speeding Up and Boosting Diverse Density Learning -- Incremental Learning of Cellular Automata for Parallel Recognition of Formal Languages -- Sparse Substring Pattern Set Discovery Using Linear Programming Boosting -- Discovery of Super-Mediators of Information Diffusion in Social Networks -- Integer Linear Programming Models for Constrained Clustering -- Efficient Visualization of Document Streams -- Bridging Conjunctive and Disjunctive Search Spaces for Mining a New Concise and Exact Representation of Correlated Patterns -- Graph Classification Based on Optimizing Graph Spectra -- Algorithm for Detecting Significant Locations from Raw GPS Data -- Discovery of Conservation Laws via Matrix Search -- Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle -- Exploiting Code Redundancies in ECOC -- Concept Convergence in Empirical Domains -- Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung -- Mining Class-Correlated Patterns for Sequence Labeling -- ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis -- Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships -- Incremental Mining of Closed Frequent Subtrees -- Optimal Online Prediction in Adversarial Environments -- Discovery of Abstract Concepts by a Robot -- Contrast Pattern Mining and Its Application for Building Robust Classifiers -- Towards General Algorithms for Grammatical Inference -- The Blessing and the Curse of the Multiplicative Updates. 330 $aThe LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R & D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelligent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes proceedings (published in time for the respective conference) post-proceedings (consisting of thoroughly revised final full papers) research monographs (which may be based on PhD work) More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include tutorials (textbook-like monographs or collections of lectures given at advance courses) state-of-the-art surveys (offering complete and mediated coverage of a topic) hot topics (introducing emergent topics to the broader community) In parallel to the printed book, each new volume is published electronically in LNCS Online. Book jacket. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v6332 606 $aArtificial intelligence 606 $aInformation storage and retrieval systems 606 $aApplication software 606 $aDatabase management 606 $aData mining 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 606 $aDatabase Management 606 $aData Mining and Knowledge Discovery 606 $aAlgorithms 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval systems. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aData mining. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aAlgorithms. 676 $a501 701 $aPfahringer$b Bernhard$01758420 701 $aHolmes$b Geoffrey$0615305 701 $aHoffmann$b Achim$01618538 712 12$aInternational Conference on Discovery Science 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483621003321 996 $aDiscovery science$94198488 997 $aUNINA