000 05694nam a22006375i 4500
001 978-3-642-34156-4
003 DE-He213
005 20240423125620.0
007 cr nn 008mamaa
008 121026s2012 gw | s |||| 0|eng d
020 _a9783642341564
_9978-3-642-34156-4
024 7 _a10.1007/978-3-642-34156-4
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
_2thema
082 0 4 _a005.74
_223
245 1 0 _aAdvances in Intelligent Data Analysis XI
_h[electronic resource] :
_b11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012, Proceedings /
_cedited by Jaakko Hollmen, Frank Klawonn, Allan Tucker.
250 _a1st ed. 2012.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXIV, 426 p. 136 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v7619
505 0 _aIntelligent Data Analysis of Human Genetic Data -- Queries for Data Analysis -- Parallel Data Mining Revisited. Better, not Faster -- Weighting Features for Partition Around Medoids Using the Minkowski Metric -- On Initializations for the Minkowski Weighted K-Means -- A Skew-t-normal Multi-level Reduced-rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data -- Methodological Foundation for Sign Language 3D Motion Trajectory Analysis -- Assembly Detection in Continuous Neural Spike Train Data -- Online Techniques for Dealing with Concept Drift in Process Mining -- An Evolutionary Based Clustering Algorithm Applied to Data Compression for Industrial Systems -- Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns -- Discriminative Dimensionality Reduction Mappings -- Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules -- Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation -- MCut: A Thresholding Strategy for Multi-label Classification -- Improving Tag Recommendation Using Few Associations -- Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models -- Constrained Clustering Using SAT -- Two-stage Approach for Electricity Consumption Forecasting in Public Buildings -- Online Predictive Model for Taxi Services -- Analysis of Noisy Biosignals for Musical Performance -- Information Theoretic Approach to Improve Performance of Networked Control Systems -- Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval -- Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data -- Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields -- Patch-based DataAnalysis Using Linear-Projection Diffusion -- Dictionary Construction for Patch-to-Tensor Embedding -- Where Are We Going? Predicting the Evolution of Individuals -- Use of General Purpose GPU Programing to Enhance the Classification of Leukaemia Blast Cells in Blood Smear Images -- Intelligent Data Analysis by a Home-Use Human Monitoring Robot -- Sleep Musicalization: Automatic Music Composition from Sleep Measurements -- Engine Parameter Outlier Detection: Verification by Simulating PID Controllers Generated by Genetic Algorithm -- Unit Operational Pattern Analysis and Forecasting using EMD and SSA for Industrial Systems.
520 _aThis book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Analysis, IDA 2012, held in Helsinki, Finland, in October 2012. The 32 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 88 submissions. All current aspects of intelligent data analysis are addressed, including intelligent support for modeling and analyzing data from complex, dynamical systems. The papers focus on novel applications of IDA techniques to, e.g., networked digital information systems; novel modes of data acquisition and the associated issues; robustness and scalability issues of intelligent data analysis techniques; and visualization and dissemination results.
650 0 _aDatabase management.
650 0 _aApplication software.
650 0 _aArtificial intelligence.
650 0 _aInformation storage and retrieval systems.
650 0 _aAlgorithms.
650 0 _aData mining.
650 1 4 _aDatabase Management.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aArtificial Intelligence.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aAlgorithms.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aHollmen, Jaakko.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKlawonn, Frank.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTucker, Allan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642341557
776 0 8 _iPrinted edition:
_z9783642341571
830 0 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v7619
856 4 0 _uhttps://doi.org/10.1007/978-3-642-34156-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c179896
_d179896