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ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 7 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
ICDM
2007
IEEE
192views Data Mining» more  ICDM 2007»
15 years 10 months ago
Discovering Temporal Communities from Social Network Documents
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...
Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee...
ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
15 years 8 months ago
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
Gao Cong, Bing Liu
AUSAI
2006
Springer
15 years 7 months ago
Automatic Generation of Funny Cartoons Diary for Everyday Mobile Life
Abstract. The notable developments in pervasive and wireless technology enable us to collect enormous sensor data from each individual. With contextaware technologies, these data c...
Injee Song, Myung-Chul Jung, Sung-Bae Cho
PKDD
2010
Springer
155views Data Mining» more  PKDD 2010»
15 years 2 months ago
Latent Structure Pattern Mining
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...