Download PDF by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo: Machine Learning and Knowledge Discovery in Databases:

By Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed complaints of the ecu convention on computing device studying and information Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The one hundred fifteen revised learn papers offered including thirteen demo song papers, 10 nectar music papers, eight PhD song papers, and nine invited talks have been conscientiously reviewed and chosen from 550 submissions. The papers conceal the most recent top of the range interdisciplinary learn ends up in all components with regards to computing device studying and data discovery in databases.

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Read Online or Download Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I PDF

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Extra resources for Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I

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Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, and Hanqing Lu 177 Conic Multi-task Classification . . . . . . . . . . . . . . . . . . Cong Li, Michael Georgiopoulos, and Georgios C. Anagnostopoulos 193 Bi-directional Representation Learning for Multi-label Classification . . Xin Li and Yuhong Guo 209 Optimal Thresholding of Classifiers to Maximize F1 Measure . . . . . Zachary C. Lipton, Charles Elkan, and Balakrishnan Naryanaswamy 225 Randomized Operating Point Selection in Adversarial Classification .

Nada Lavraˇc, Matic Perovˇsek, and Anˇze Vavpetiˇc Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets . . . . . . . . . . . . . . . . . . . . . Uli Niemann, Myra Spiliopoulou, Henry V¨ olzke, and Jens-Peter K¨ uhn WebDR: A Web Workbench for Data Reduction . . . . . . . . . . . 0: A Tool for Grammar-Based Pattern Discovery in Time Series . . . . . . . . . . . . . . . . . . .

Vladan Radosavljevic, Slobodan Vucetic, and Zoran Obradovic Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees . . . . . . . . . . . . . Tahrima Rahman, Prasanna Kothalkar, and Vibhav Gogate Boosted Mean Shift Clustering . . . . . . . . . . . . . . . . . . Yazhou Ren, Uday Kamath, Carlotta Domeniconi, and Guoji Zhang Hypernode Graphs for Spectral Learning on Binary Relations over Sets . . . . . .

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