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Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I / / edited by Peter A. Flach, Tijl De Bie, Nello Cristianini



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Titolo: Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I / / edited by Peter A. Flach, Tijl De Bie, Nello Cristianini Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Edizione: 1st ed. 2012.
Descrizione fisica: 1 online resource (XXVI, 879 p. 241 illus.)
Disciplina: 006.312
Soggetto topico: Data mining
Artificial intelligence
Pattern recognition
Computer science—Mathematics
Mathematical statistics
Information storage and retrieval
Data Mining and Knowledge Discovery
Artificial Intelligence
Pattern Recognition
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Information Storage and Retrieval
Persona (resp. second.): FlachPeter A
De BieTijl
CristianiniNello
Note generali: International conference proceedings.
Nota di bibliografia: Includes bibliographical references and author index.
Nota di contenuto: Aassociation rules and frequent patterns -- Bayesian learning and graphical models -- classification -- dimensionality reduction, feature selection and extraction -- distance-based methods and kernels -- ensemble methods -- graph and tree mining -- large-scale, distributed and parallel mining and learning -- multi-relational mining and learning -- multi-task learning -- natural language processing -- online learning and data streams.
Sommario/riassunto: This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.
Titolo autorizzato: Machine Learning and Knowledge Discovery in Databases  Visualizza cluster
ISBN: 3-642-33460-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465591703316
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Serie: Lecture Notes in Artificial Intelligence ; ; 7523