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» Similarity-Based Clustering of Web Transactions
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INTR
2010
157views more  INTR 2010»
13 years 3 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
EDBT
2002
ACM
159views Database» more  EDBT 2002»
14 years 5 months ago
Cut-and-Pick Transactions for Proxy Log Mining
Web logs collected by proxy servers, referred to as proxy logs or proxy traces, contain information about Web document accesses by many users against many Web sites. This "man...
Wenwu Lou, Guimei Liu, Hongjun Lu, Qiang Yang
SIGMOD
2005
ACM
108views Database» more  SIGMOD 2005»
13 years 10 months ago
A high-performance, transactional filestore for application servers
There is a class of data, including messages and business workflow state, for which conventional monolithic databases are less than ideal. Performance and scalability of Applicati...
Bill Gallagher, Dean Jacobs, Anno Langen
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
14 years 5 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
EDBTW
2004
Springer
13 years 10 months ago
Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach
Abstract. The Web has been rapidly “deepened” with the prevalence of databases online. On this “deep Web,” numerous sources are structured, providing schema-rich data– Th...
Bin He, Tao Tao, Kevin Chen-Chuan Chang