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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part - nuovo libro

2010, ISBN: 9783642158827

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2010, ISBN: 364215882X

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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II - libri usati

2010, ISBN: 9783642158827

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2010, ISBN: 9783642158827

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European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2010

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Dettagli del libro
Machine Learning and Knowledge Discovery in Databases
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ISBN:

9783642158827


This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.

Informazioni dettagliate del libro - Machine Learning and Knowledge Discovery in Databases


EAN (ISBN-13): 9783642158827
ISBN (ISBN-10): 364215882X
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Springer Berlin
518 Pagine
Peso: 0,750 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-10-25T09:09:30+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-03-11T13:31:48+01:00 (Zurich)
ISBN/EAN: 9783642158827

ISBN - Stili di scrittura alternativi:
3-642-15882-X, 978-3-642-15882-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : aristides, josé, aris, arist, michel jose, gioni, sebag, michael berthold, michael lipson
Titolo del libro: conférence, barcelona, machine learning, knowledge discovery databases

Dati dell'editore

Autore: José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag
Titolo: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II
Editore: Springer; Springer Berlin
518 Pagine
Anno di pubblicazione: 2010-09-13
Berlin; Heidelberg; DE
Lingua: Inglese
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XXI, 518 p. 145 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; bio-informatics; classification; clustering; data analysis; data mining; databases; dimensionality reduction; graph mining; information retrieval; knowledge; knowledge discovery; learning; machine learning; semantic web; social networks; Artificial Intelligence; Data Structures and Information Theory; Computer and Information Systems Applications; Information Storage and Retrieval; Database Management; Data Mining and Knowledge Discovery; Algorithmen und Datenstrukturen; Informationstheorie; Angewandte Informatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Datenbanken; Data Mining; Wissensbasierte Systeme, Expertensysteme; EA

Regular Papers.- Bayesian Knowledge Corroboration with Logical Rules and User Feedback.- Learning an Affine Transformation for Non-linear Dimensionality Reduction.- NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification.- Hidden Conditional Ordinal Random Fields for Sequence Classification.- A Unifying View of Multiple Kernel Learning.- Evolutionary Dynamics of Regret Minimization.- Recognition of Instrument Timbres in Real Polytimbral Audio Recordings.- Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks.- Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.- Online Knowledge-Based Support Vector Machines.- Learning with Randomized Majority Votes.- Exploration in Relational Worlds.- Efficient Confident Search in Large Review Corpora.- Learning to Tag from Open Vocabulary Labels.- A Robustness Measure of Association Rules.- Automatic Model Adaptation for Complex Structured Domains.- Collective Traffic Forecasting.- On Detecting Clustered Anomalies Using SCiForest.- Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier.- Online Learning in Adversarial Lipschitz Environments.- Summarising Data by Clustering Items.- Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space.- Latent Structure Pattern Mining.- First-Order Bayes-Ball.- Learning from Demonstration Using MDP Induced Metrics.- Demand-Driven Tag Recommendation.- Solving Structured Sparsity Regularization with Proximal Methods.- Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models.- Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.- Integrating Constraint Programming and Itemset Mining.- Topic Modeling for Personalized Recommendation of Volatile Items.- Conditional Ranking on Relational Data.
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