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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 2 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
FAST
2010
15 years 4 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
131
Voted
WWW
2009
ACM
16 years 3 months ago
Unsupervised query categorization using automatically-built concept graphs
Automatic categorization of user queries is an important component of general purpose (Web) search engines, particularly for triggering rich, query-specific content and sponsored ...
Eustache Diemert, Gilles Vandelle
112
Voted
WWW
2001
ACM
16 years 3 months ago
Document Visualization on Small Displays
Limitation in display size and resolution on mobile devices is one of the main obstacles for wide-spread use of web applications in a wireless environment. Web pages are often too ...
Ka Kit Hoi, Dik Lun Lee, Jianliang Xu
92
Voted
CHI
2003
ACM
16 years 2 months ago
MiTAP for real users, real data, real problems
The MiTAP system was developed as an experimental prototype using human language technologies for monitoring disease outbreaks. The system provides timely, multi-lingual, global i...
Laurie E. Damianos, Steve Wohlever, Robyn Kozierok...