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KDD
1998
ACM
101views Data Mining» more  KDD 1998»
15 years 11 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
KDD
2000
ACM
145views Data Mining» more  KDD 2000»
15 years 10 months ago
IntelliClean: a knowledge-based intelligent data cleaner
Existing data cleaning methods work on the basis of computing the degree of similarity between nearby records in a sorted database. High recall is achieved by accepting records wi...
Mong-Li Lee, Tok Wang Ling, Wai Lup Low
GRC
2008
IEEE
15 years 7 months ago
MovStream: An Efficient Algorithm for Monitoring Clusters Evolving in Data Streams
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...
Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Ye...
JMLR
2008
117views more  JMLR 2008»
15 years 7 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
15 years 5 months ago
Anonymizing Temporal Data
-- Temporal data are time-critical in that the snapshot at each timestamp must be made available to researchers in a timely fashion. However, due to the limited data, each snapshot...
Ke Wang, Yabo Xu, Raymond Chi-Wing Wong, Ada Wai-C...