Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, proceedings. Part III / Dimitrios Gunopulos [and others] (eds.).Material type: TextSeries: Serienbezeichnung | Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 6913. | Lecture notes in computer science | LNCS sublibrary. SL 7, Artificial intelligence.Publication details: Berlin ; New York : Springer, ©2011. Description: 1 online resource (xxii, 663 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9783642238086; 3642238084Subject(s): Machine learning -- Congresses | Data mining -- Congresses | Databases -- Congresses | Data mining | Databases | Machine learningGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 006.3/1 LOC classification: Q325.5 | .E26 2011Online resources: Click here to access online
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Includes bibliographical references and author index.
This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.
Note continued: Minimum Code Length for Clustering Using the Gray Code / Akihiro Yamamoto -- Learning to Infer Social Ties in Large Networks / Jie Tang -- Comparing Apples and Oranges: Measuring Differences between Data Mining Results / Jilles Vreeken -- Learning Monotone Nonlinear Models Using the Choquet Integral / Eyke Hullermeier -- Feature Selection for Transfer Learning / Jaime Carbonell -- Multiview Semi-supervised Learning for Ranking Multilingual Documents / Cyril Goutte -- Non-redundant Subgroup Discovery in Large and Complex Data / Arno Knobbe -- Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation / Kristian Kersting -- Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks / Houkuan Huang -- Correcting Bias in Statistical Tests for Network Classifier Evaluation / Tina Eliassi-Rad -- Differentiating Code from Data in x86 Binaries / Bhavani Thuraisingham -- Bayesian Matrix Co-Factorization: Variational Algorithm and Cramer-Rao Bound / Seungjin Choi -- Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion / Zoran Obradovic -- iDVS: An Interactive Multi-document Visual Summarization System / Tao Li -- Discriminative Experimental Design / Dit-Yan Yeung -- Active Learning with Evolving Streaming Data / Geoff Holmes -- Demo Papers -- Celebrity Watch: Browsing News Content by Exploiting Social Intelligence / Nello Cristianini -- MOA: A Real-Time Analytics Open Source Framework / Thomas Seidl -- L-SME: A System for Mining Loosely Structured Motifs / Giorgio Terracina -- MASH Project / Leonidas Lefakis -- Activity Recognition With Mobile Phones / Doina Precup -- MIME: A Framework for Interactive Visual Pattern Mining / Jilles Vreeken -- ^ InFeRno -- An Intelligent Framework for Recognizing Pornographic Web Pages / Konstantinos Blekas
Note continued: MetaData Retrieval: A Software Prototype for the Annotation of Maps with Social Metadata / Enrico Ponassi -- TRUMIT: A Tool to Support Large-Scale Mining of Text Association Rules / Kjetil Nørvag -- Traffic Jams Detection Using Flock Mining / Fosca Giannotti -- Exploring City Structure from Georeferenced Photos Using Graph Centrality Measures / Piotr Jankowski.