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024 7 _a10.1007/978-3-642-37382-4
_2doi
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082 0 4 _a006.312
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245 1 0 _aNew Frontiers in Mining Complex Patterns
_h[electronic resource] :
_bFirst International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers /
_cedited by Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew Ras.
250 _a1st ed. 2013.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aX, 231 p. 57 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7765
505 0 _aLearning with Configurable Operators and RL-Based Heuristics.- Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.- Mining Complex Event Patterns in Computer Networks -- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation -- Machine Learning as an Objective Approach to Understanding Music.- Pair-Based Object-Driven Action Rules -- Effectively Grouping Trajectory Streams.- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets -- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data -- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels.- Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns.- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text.- Discovering Evolution Chains in Dynamic Networks.- Supporting Information Spread in a Social  Internetworking Scenario.- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution.  Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.- Mining Complex Event Patterns in Computer Networks -- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation -- Machine Learning as an Objective Approach to Understanding Music.- Pair-Based Object-Driven Action Rules -- Effectively Grouping Trajectory Streams.- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets -- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data -- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels.- Learning in Probabilistic Graphs Exploiting Language-ConstrainedPatterns.- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text.- Discovering Evolution Chains in Dynamic Networks.- Supporting Information Spread in a Social  Internetworking Scenario.- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. .
520 _aThis book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012. The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on mining rich (relational) datasets, mining complex patterns from miscellaneous data, mining complex patterns from trajectory and sequence data, and mining complex patterns from graphs and networks.
650 0 _aData mining.
_93907
650 0 _aDatabase management.
_93157
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aArtificial intelligence.
_93407
650 1 4 _aData Mining and Knowledge Discovery.
_9132347
650 2 4 _aDatabase Management.
_93157
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aAppice, Annalisa.
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700 1 _aCeci, Michelangelo.
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700 1 _aLoglisci, Corrado.
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700 1 _aManco, Giuseppe.
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700 1 _aMasciari, Elio.
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700 1 _aRas, Zbigniew.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-642-37382-4
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