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» Phenomenal Data Mining: From Data to Phenomena
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WSDM
2010
ACM
1328views Data Mining» more  WSDM 2010»
15 years 10 months ago
TwitterRank: Finding Topic-sensitive Influential Twitterers
This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networkin...
Jianshu Weng, Ee-peng Lim, Jing Jiang, Qi He
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
15 years 8 months ago
Adaptive subjective triggers for opinionated document retrieval
This paper proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigg...
Kazuhiro Seki, Kuniaki Uehara
WSDM
2009
ACM
114views Data Mining» more  WSDM 2009»
15 years 8 months ago
Wikipedia pages as entry points for book search
A lot of the world’s knowledge is stored in books, which, as a result of recent mass-digitisation efforts, are increasingly available online. Search engines, such as Google Book...
Marijn Koolen, Gabriella Kazai, Nick Craswell
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
15 years 8 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
15 years 7 months ago
Iterative Set Expansion of Named Entities Using the Web
Set expansion refers to expanding a partial set of “seed” objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), which e...
Richard C. Wang, William W. Cohen