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ACL
2012
13 years 6 months ago
Using Search-Logs to Improve Query Tagging
Syntactic analysis of search queries is important for a variety of information-retrieval tasks; however, the lack of annotated data makes training query analysis models difficult...
Kuzman Ganchev, Keith Hall, Ryan T. McDonald, Slav...
SDM
2010
SIAM
204views Data Mining» more  SDM 2010»
15 years 5 months ago
Scalable Tensor Factorizations with Missing Data
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
COMPSAC
2010
IEEE
15 years 2 months ago
Design and Implementation of a Middleware for Development and Provision of Stream-Based Services
This paper proposes MISSA, a novel middleware to facilitate the development and provision of stream-based services in emerging pervasive environments. The streambased services util...
Seungwoo Kang, Youngki Lee, Sunghwan Ihm, Souneil ...
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 10 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 10 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu