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001 978-3-642-33492-4
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008 121026s2012 gw | s |||| 0|eng d
020 _a9783642334924
_9978-3-642-33492-4
024 7 _a10.1007/978-3-642-33492-4
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aGanascia, Jean-Gabriel.
_eeditor.
245 1 0 _aDiscovery Science
_h[electronic resource] :
_b15th International Conference, DS 2012, Lyon, France, October 29-31, 2012. Proceedings /
_cedited by Jean-Gabriel Ganascia, Philippe Lenca, Jean-Marc Petit.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXIV, 329 p. 77 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7569
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aComputer software.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation storage and retrieval systems.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aDatabase Management.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aLenca, Philippe.
_eeditor.
700 1 _aPetit, Jean-Marc.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642334917
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7569
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-33492-4
912 _aZDB-2-SCS
912 _aZDB-2-LNC
999 _c103649
_d103649