论文信息 - ECML-PKDD Discovery Challenge 2006 Overview

ECML-PKDD Discovery Challenge 2006 Overview

The Discovery Challenge 2006 deals with personalized spam flltering and generalization across related learning tasks. In this overview of the challenge we motivate and describe the problem setting and the evaluation measure. We give details on the construction of the data sets and discuss the results.

Stefien Bickel | Stefien Bickel

[1] William S. Yerazunis,et al. Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering , 2004, PKDD.

[2] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.

[3] Bernhard Pfahringer,et al. A semi-supervised Spam mail detector , 2006 .

[4] Gordon V. Cormack. Harnessing Unlabeled Examples through Iterative Application of Dynamic Markov Modeling , 2006 .

[5] Asim Karim,et al. A Two-Pass Statistical Approach for Automatic Personalized Spam Filtering , 2006 .

[6] Georgios Paliouras,et al. TPN 2 : Using positive-only learning to deal with the heterogeneity of labeled and unlabeled data , 2006 .

[7] Michalis Vazirgiannis,et al. Using Tri-Training and Support Vector Machines for addressing the ECML-PKDD 2006 Discovery Challenge , 2006 .

[8] Yiming Yang,et al. The Enron Corpus: A New Dataset for Email Classi(cid:12)cation Research , 2004 .

[9] T. Kalamboukis,et al. Text Classification Using Clustering , 2006 .

[10] J. Hanley,et al. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.

[11] Mikhaylo Golovnya,et al. Identifying SPAM with Predictive Models , 2006 .