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» Set cover algorithms for very large datasets
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DEXA
2006
Springer
193views Database» more  DEXA 2006»
14 years 4 days ago
Understanding and Enhancing the Folding-In Method in Latent Semantic Indexing
Abstract. Latent Semantic Indexing(LSI) has been proved to be effective to capture the semantic structure of document collections. It is widely used in content-based text retrieval...
Xiang Wang 0002, Xiaoming Jin
KDD
2000
ACM
121views Data Mining» more  KDD 2000»
14 years 1 days ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
ICDT
1995
ACM
79views Database» more  ICDT 1995»
14 years 11 hour ago
Optimization Using Tuple Subsumption
A tuple t1 of relation R subsumes tuple t2 of R, with respect to a query Q if for every database, tuple t1 derives all, and possibly more, answers to query Q than derived by tuple ...
Venky Harinarayan, Ashish Gupta
COMAD
2008
13 years 10 months ago
An Incremental Summary Generation System
Huge amount of information is present in the World Wide Web and a large amount is being added to it frequently. A query-specific summary of multiple documents is very helpful to t...
C. Ravindranath Chowdary, P. Sreenivasa Kumar
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 8 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha