ECML PKDD Discovery Challenge 2008

Program

Legend
Discovery Challenge: Spam Detection Task
Discovery Challenge: Tag Recommendation Task
Wikis, Blogs, Bookmarking Tools - Mining the Web 2.0 Workshop
Time
9:00 - 10:10

Spam

Slides of the workshop introduction

A novel supervised learning algorithm and its use for Spam Detection in Social Bookmarking Systems (30 min)
A. Gkanogiannis and T. Kalamboukis

Rank for spam detection - ECML Discovery Challenge (15 min)
P. Gramme and J.-F. Chevalier

Naive Bayes Classifier Learning with Feature Selection for Spam Detection in Social Bookmarking (15 min)
C. Kim and K.-B. Hwang
10:10 - 10:40 Coffee break
10:40 - 12:30

Network Structures & Folksonomies

Predicting Tag Spam Examining Cooccurrences, Network Structures and URL Components (15 min)
N. Neubauer and K. Obermayer

Using Co-occurence of Tags and Resources to Identify Spammers (15 min)
R. Krestel and L. Chen

Identifying Ideological Perspectives of Web Videos using Patterns Emerging from Folksonomies (30 min)
Wei-Hao Lin and Alex Hauptmann

Topical Structure Discovery in Folksonomies (30 min)
Ilija Subasic and Bettina Berendt

Wikipedia As the Premiere Source for Targeted Hypernym Discovery (20 min)
Tomas Kliegr, Vojtech Svatek, Krishna Chandramouli, Jan Nemrava and Ebroul Izquierdo
12:30 - 14:00 Lunch
14:00 - 15:30

Recommendation/Prediction

RSDC'08: Tag Recommendations using Bookmark Content (30 min)
M. Tatu, M. Srikanth and T. D'Silva

Tag Recommendation for Folksonomies Oriented towards Individual Users (15 min)
M. Lipczak

Multilabel Text Classification for Automated Tag Suggestion (15 min)
I. Katakis, G. Tsoumakas and I. Vlahavas

BaggTaming - Learning from Wild and Tame Data (30 min)
Toshihiro Kamishima, Masahiro Hamasaki and Shotaro Akaho
15:30 - 16:00 Coffee break
16:00 - 17:15

Blog Analysis & Spam

Clustering blog entries based on the hybrid document model enhanced by the extended anchor texts and co-referencing links (20 min)
Hiroshi Ishikawa, Masashi Tsuchida and Hajime Takekawa

Using Language Models for Spam Detection in Social Bookmarking (15 min)
T. Bogers and A. van den Bosch

Using Semantic Features to Detect Spamming in Social Bookmarking Systems (15 min)
A. Madkour, T. Hefni, A. Hefny and K. S. Refaat

Combining Clustering with Classification for Spam Detection in Social Bookmarking Systems (15 min) updated
A. Kyriakopoulou and T. Kalamboukis

Discussion
17:30 - opening of the conference

Full proceedings

Here the complete pdf of the discovery challenge 2008 proceedings.

Accepted Papers