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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 5 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
CN
2006
163views more  CN 2006»
13 years 5 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
WWW
2007
ACM
14 years 5 months ago
Measuring semantic similarity between words using web search engines
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in semantic web-related applications such as community mi...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
WSDM
2009
ACM
198views Data Mining» more  WSDM 2009»
13 years 12 months ago
Measuring the similarity between implicit semantic relations using web search engines
Measuring the similarity between implicit semantic relations is an important task in information retrieval and natural language processing. For example, consider the situation whe...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
WWW
2009
ACM
14 years 5 months ago
Measuring the similarity between implicit semantic relations from the web
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...