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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 4 days ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
KDD
2006
ACM
177views Data Mining» more  KDD 2006»
16 years 4 days 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
TKDE
2010
274views more  TKDE 2010»
14 years 10 months ago
Ranked Query Processing in Uncertain Databases
—Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to “certain” data, the ...
Xiang Lian, Lei Chen 0002
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 4 days ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
ICDE
2006
IEEE
141views Database» more  ICDE 2006»
16 years 1 months ago
Clean Answers over Dirty Databases: A Probabilistic Approach
The detection of duplicate tuples, corresponding to the same real-world entity, is an important task in data integration and cleaning. While many techniques exist to identify such...
Ariel Fuxman, Periklis Andritsos, Renée J. ...