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» Graph Mining based on a Data Partitioning Approach
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 7 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
IPPS
2006
IEEE
15 years 9 months ago
A simulation study of the effects of multi-path approaches in e-commerce applications
Response time is a key factor of any e-Commerce application, and a set of solutions have been proposed to provide low response time despite network congestions or failures. Being ...
Paolo Romano, Francesco Quaglia, Bruno Ciciani
127
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SIGIR
2004
ACM
15 years 8 months ago
Block-level link analysis
Link Analysis has shown great potential in improving the performance of web search. PageRank and HITS are two of the most popular algorithms. Most of the existing link analysis al...
Deng Cai, Xiaofei He, Ji-Rong Wen, Wei-Ying Ma
SIGIR
2012
ACM
13 years 5 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
15 years 5 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...