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» Standardized Evaluation Method for Web Clustering Results
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SIGIR
2002
ACM
15 years 6 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
DATESO
2006
103views Database» more  DATESO 2006»
15 years 7 months ago
Using WordNet Glosses to Refine Google Queries
This paper describes one of the ways how to overcome one of the major limitations of current fulltext search engines. It deals with synonymy of the web search engine results by clu...
Jan Nemrava
AIRS
2006
Springer
15 years 10 months ago
Web Mining for Lexical Context-Specific Paraphrasing
In most applications of paraphrasing, contextual information should be considered since a word may have different paraphrases in different contexts. This paper presents a method th...
Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu ...
CAV
2011
Springer
234views Hardware» more  CAV 2011»
14 years 10 months ago
Resolution Proofs and Skolem Functions in QBF Evaluation and Applications
Abstract. Quantified Boolean formulae (QBF) allow compact encoding of many decision problems. Their importance motivated the development of fast QBF solvers. Certifying the result...
Valeriy Balabanov, Jie-Hong R. Jiang
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
16 years 7 months ago
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can not be modeled adequately with Poisson arrivals[9]. However, we do want to model...
Mengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou...