LEADER 07067nam 22008895 450 001 9910483134103321 005 20251226195844.0 010 $a3-642-03915-4 024 7 $a10.1007/978-3-642-03915-7 035 $a(CKB)1000000000772846 035 $a(SSID)ssj0000316001 035 $a(PQKBManifestationID)11229635 035 $a(PQKBTitleCode)TC0000316001 035 $a(PQKBWorkID)10263059 035 $a(PQKB)10300352 035 $a(DE-He213)978-3-642-03915-7 035 $a(MiAaPQ)EBC3064481 035 $a(PPN)139955224 035 $a(BIP)27425661 035 $a(EXLCZ)991000000000772846 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Intelligent Data Analysis VIII $e8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings /$fedited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (XIII, 418 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v5772 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-03914-6 320 $aIncludes bibliographical references and index. 327 $aInvited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees. 330 $aThe general theme of the Intelligent Data Analysis (IDA) Symposia is the - telligent use of computers in complex data analysis problems. The ?eld has matured su'ciently that some re-considerationof our objectives was required in order to retain the distinctiveness of IDA. Thus, in addition to the more tra- tional algorithm- and application-oriented submissions, we sought submissions that speci'cally focus on aspects of the data analysis process. For example, - teractive tools to guide and support data analysis in complex scenarios. With the increasingavailabilityofautomaticallycollecteddata,toolsthatintelligently support and assist human analysts are becoming important. IDA-09, the 8th International Symposium on Intelligent Data Analysis, took place in Lyon from August 31 to September 2, 2009. The invited speakers were PaulCohen(UniversityofArizona,USA)andPabloJensen(ENSLyon,France). The meeting received more than 80 submissions. The Programme Committee selected 33 submissions for publication: 18 for full oral presentation, and 15 for poster and short oralpresentation. Eachcontribution was evaluated by three expertsandhas beenallocated12pagesintheproceedings.Theacceptedpapers cover a broad range of topics and applications, and include contributions on the re'ned focus of IDA. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v5772 606 $aComputer science 606 $aInformation storage and retrieval systems 606 $aData mining 606 $aPattern recognition systems 606 $aArtificial intelligence$xData processing 606 $aBusiness information services 606 $aTheory of Computation 606 $aInformation Storage and Retrieval 606 $aData Mining and Knowledge Discovery 606 $aAutomated Pattern Recognition 606 $aData Science 606 $aIT in Business 615 0$aComputer science. 615 0$aInformation storage and retrieval systems. 615 0$aData mining. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence$xData processing. 615 0$aBusiness information services. 615 14$aTheory of Computation. 615 24$aInformation Storage and Retrieval. 615 24$aData Mining and Knowledge Discovery. 615 24$aAutomated Pattern Recognition. 615 24$aData Science. 615 24$aIT in Business. 676 $a006.31222gerDNB 686 $aDAT 703f$2stub 686 $aMAT 620f$2stub 686 $aSS 4800$2rvk 701 $aAdams$b Niall M.$f1968-$01694572 701 $aRobardet$b Celine$01757043 701 $aSiebes$b Arno$01757044 701 $aBoulicaut$b Jean-Francois$01757045 712 12$aInternational Symposium on Intelligent Data Analysis. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483134103321 996 $aAdvances in intelligent data analysis VIII$94194681 997 $aUNINA