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KDD
2006
ACM
177views Data Mining» more  KDD 2006»
14 years 10 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
KDD
2004
ACM
142views Data Mining» more  KDD 2004»
14 years 10 months ago
Meta-classification of Multi-type Cancer Gene Expression Data
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
Benny Y. M. Fung, Vincent T. Y. Ng
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 10 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
ICDM
2009
IEEE
143views Data Mining» more  ICDM 2009»
14 years 4 months ago
An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners
Abstract—Data sanitization has been used to restrict reidentification of individuals and disclosure of sensitive information from published data. We propose an attack on the pri...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 4 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee