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020 _a9783642162923
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024 7 _a10.1007/978-3-642-16292-3
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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245 1 0 _aModeling Decisions for Artificial Intelligence
_h[electronic resource] :
_b7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010, Proceedings /
_cedited by Vicenç Torra, Yasuo Narukawa, Marc Daumas.
250 _a1st ed. 2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXI, 299 p. 81 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6408
505 0 _aInvited Papers -- Relationships between Qualitative and Quantitative Scales for Aggregation Operations: The Example of Sugeno Integrals -- User Privacy in Web Search -- A Bibliometric Index Based on Collaboration Distances -- Regular Papers -- Measuring the Influence of the kth Largest Variable on Functions over the Unit Hypercube -- Measuring the Interactions among Variables of Functions over the Unit Hypercube -- Weighted Quasi-arithmetic Means and Conditional Expectations -- Modelling Group Decision Making Problems in Changeable Conditions -- Individual Opinions-Based Judgment Aggregation Procedures -- Aggregation of Bounded Fuzzy Natural Number-Valued Multisets -- Sugeno Utility Functions I: Axiomatizations -- Sugeno Utility Functions II: Factorizations -- Managing Information Fusion with Formal Concept Analysis -- Indefinite Kernel Fuzzy c-Means Clustering Algorithms -- Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute Deviations -- A Generalized Approach to the Suppressed Fuzzy c-Means Algorithm -- Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints -- Gallbladder Segmentation in 2-D Ultrasound Images Using Deformable Contour Methods -- Pattern Mining on Stars with FP-Growth -- A Computational Intelligence Based Framework for One-Subsequence-Ahead Forecasting of Nonstationary Time Series -- Non-hierarchical Clustering of Decision Tables toward Rough Set-Based Group Decision Aid -- Revisiting Natural Actor-Criticswith Value Function Approximation -- A Cost-Continuity Model for Web Search -- An Enhanced Framework of Subjective Logic for Semantic Document Analysis -- Ontology-Based Anonymization of Categorical Values -- Rational Privacy Disclosure in Social Networks -- Towards Semantic Microaggregation of Categorical Data for Confidential Documents -- Using Classification Methods to Evaluate Attribute Disclosure Risk -- A Misleading Attack against Semi-supervised Learning for Intrusion Detection.
520 _aThis book constitutes the proceedings of the 7th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2010, held in Perpignan, France, in October 2010. The 25 papers presented were carefully reviewed and selected from 43 submissions. The volume also contains extended abstracts of the three invited papers. The topics covered are aggregation operators and decision making; clustering and similarity; computational intelligence; and data privacy.
650 0 _aArtificial intelligence.
650 0 _aApplication software.
650 0 _aInformation storage and retrieval systems.
650 0 _aDatabase management.
650 0 _aComputer science.
650 0 _aData mining.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aDatabase Management.
650 2 4 _aTheory of Computation.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aTorra, Vicenç.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNarukawa, Yasuo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDaumas, Marc.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642162916
776 0 8 _iPrinted edition:
_z9783642162930
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6408
856 4 0 _uhttps://doi.org/10.1007/978-3-642-16292-3
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