[Statistically Sound Data Mining Logo] Proceedings of Machine Learning Research

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Volume 47: Statistically Sound Data Mining, 15 September 2014, Nancy, France

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Editors: Wilhelmiina Hämäläinen, François Petitjean, I. Webb

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Contents:

Preface

Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining

Wilhelmiina Hämäläinen, François Petitjean, Geoffrey I. Webb; Proceedings of the Workshop on Statistically Sound Data Mining at ECML/PKDD, PMLR 47:1-2

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Accepted Papers

Look before you leap: Some insights into learner evaluation with cross-validation

Gitte Vanwinckelen, Hendrik Blockeel; Proceedings of the Workshop on Statistically Sound Data Mining at ECML/PKDD, PMLR 47:3-20

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A Critical View on Automatic Significance-Filtering in Pattern Mining

Florian Lemmerich, Frank Puppe; Proceedings of the Workshop on Statistically Sound Data Mining at ECML/PKDD, PMLR 47:21-27

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Statistically significant subgraphs for genome-wide association study

Jun Sese, Aika Terada, Yuki Saito, Koji Tsuda; Proceedings of the Workshop on Statistically Sound Data Mining at ECML/PKDD, PMLR 47:29-36

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U-statistics on network-structured data with kernels of degree larger than one

Yuyi Wang, Christos Pelekis, Jan Ramon; Proceedings of the Workshop on Statistically Sound Data Mining at ECML/PKDD, PMLR 47:37-48

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