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001467634 020__ $$a9783642373824$$q(electronic bk.)
001467634 020__ $$a3642373828$$q(electronic bk.)
001467634 020__ $$a9783642373831$$q(print)
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001467634 0247_ $$a10.1007/978-3-642-37382-4$$2doi
001467634 0248_ $$a10.1007/978-3-642-37
001467634 035__ $$aSP(OCoLC)837167933
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001467634 049__ $$aISEA
001467634 050_4 $$aQA76.9.D343$$bN46 2012
001467634 08204 $$a006.3/12$$223
001467634 1112_ $$aNFMCP (Workshop)$$n(1st :$$d2012 :$$cBristol, England)
001467634 24510 $$aNew frontiers in mining complex patterns :$$bfirst International Workshop, NFMCP 2012, held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised selected papers /$$cAnnalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras (eds.).
001467634 2463_ $$aNFMCP 2012
001467634 264_1 $$aBerlin :$$bSpringer,$$c[2013]
001467634 264_4 $$c©2013
001467634 300__ $$a1 online resource (x, 229 pages) :$$billustrations
001467634 336__ $$atext$$btxt$$2rdacontent
001467634 337__ $$acomputer$$bc$$2rdamedia
001467634 338__ $$aonline resource$$bcr$$2rdacarrier
001467634 347__ $$aimage files$$dPNG$$2rda
001467634 4901_ $$aLecture notes in artificial intelligence ;$$v7765
001467634 4901_ $$aLecture notes in computer science,$$x0302-9743
001467634 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence
001467634 500__ $$aIncludes author index.
001467634 50500 $$tMining Rich (Relational) Datasets.$$tLearning with Configurable Operators and RL-Based Heuristics /$$rFernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo --$$tReducing Examples in Relational Learning with Bounded-Treewidth Hypotheses /$$rOndřej Kuželka, Andrea Szabóová, Filip Železný --$$tMining Complex Patterns from Miscellaneous Data.$$tMining Complex Event Patterns in Computer Networks /$$rDietmar Seipel [and others] --$$tLearning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation /$$rEric Paquet, Herna Lydia Viktor, Hongyu Guo --$$tMachine Learning as an Objective Approach to Understanding Music /$$rClaire Q, Ross D. King --$$tPair-Based Object-Driven Action Rules /$$rAyman Hajja [and others] --$$tMining Complex Patterns from Trajectory and Sequence Data.$$tEffectively Grouping Trajectory Streams /$$rGianni Costa, Giuseppe Manco, Elio Masciari --$$tHealthcare Trajectory Mining by Combining Multidimensional Component and Itemsets /$$rElias Egho [and others] --$$tGraph-Based Approaches to Clustering Network-Constrained Trajectory Data /$$rMohamed Khalil El Mahrsi, Fabrice Rossi --$$tMining Complex Patterns from Graphs and Networks.$$tFinding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels /$$rMichael Davis, Weiru Liu, Paul Miller --$$tLearning in Probabilistic Graphs Exploiting Language-Constrained Patterns /$$rClaudio Taranto, Nicola Di Mauro, Floriana Esposito --$$tImproving Robustness and Flexibility of Concept Taxonomy Learning from Text /$$rFabio Leuzzi, Stefano Ferilli, Fulvio Rotella --$$tDiscovering Evolution Chains in Dynamic Networks /$$rCorrado Loglisci, Michelangelo Ceci, Donato Malerba --$$tSupporting Information Spread in a Social Internetworking Scenario /$$rFrancesco Buccafurri [and others] --$$tContext-Aware Predictions on Business Processes: An Ensemble-Based Solution /$$rFrancesco Folino, Massimo Guarascio, Luigi Pontieri.
001467634 506__ $$aAccess limited to authorized users.
001467634 520__ $$aThis book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012. The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on mining rich (relational) datasets, mining complex patterns from miscellaneous data, mining complex patterns from trajectory and sequence data, and mining complex patterns from graphs and networks.
001467634 546__ $$aEnglish.
001467634 588__ $$aDescription based on print version record.
001467634 650_0 $$aData mining$$vCongresses.
001467634 650_0 $$aArtificial intelligence$$vCongresses.
001467634 650_0 $$aArtificial intelligence.
001467634 650_0 $$aData mining.
001467634 650_6 $$aExploration de données (Informatique)$$vCongrès.
001467634 650_6 $$aIntelligence artificielle$$vCongrès.
001467634 650_6 $$aIntelligence artificielle.
001467634 650_6 $$aExploration de données (Informatique)
001467634 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001467634 655_7 $$aConference papers and proceedings.$$2lcgft
001467634 655_7 $$aActes de congrès.$$2rvmgf
001467634 655_0 $$aElectronic books.
001467634 7001_ $$aAppice, Annalisa,$$eeditor.
001467634 7001_ $$aCeci, Michelangelo,$$eeditor.
001467634 7001_ $$aLoglisci, Corrado,$$eeditor.
001467634 7001_ $$aManco, Giuseppe,$$eeditor.
001467634 7001_ $$aMasciari, Elio,$$eeditor.
001467634 7001_ $$aRaś, Zbigniew,$$eeditor.
001467634 77608 $$iPrint version:$$aNFMCP (Workshop) (1st : 2012 : Bristol, England).$$tNew frontiers in mining complex patterns. NFMCP 2012 (2012 : Bristol, England).$$dBerlin : Springer, [2013]$$z9783642373817$$w(OCoLC)856263553
001467634 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence ;$$v7765.
001467634 830_0 $$aLecture notes in computer science.
001467634 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001467634 852__ $$bebk
001467634 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-319-17876-9$$zOnline Access$$91397441.1
001467634 909CO $$ooai:library.usi.edu:1467634$$pGLOBAL_SET
001467634 980__ $$aBIB
001467634 980__ $$aEBOOK
001467634 982__ $$aEbook
001467634 983__ $$aOnline
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