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» Discovering data dependencies in Web content mining
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WWW
2008
ACM
16 years 6 months ago
Mining, indexing, and searching for textual chemical molecule information on the web
Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
CN
2006
163views more  CN 2006»
15 years 6 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
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
15 years 3 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
VLDB
2005
ACM
177views Database» more  VLDB 2005»
15 years 11 months ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
15 years 8 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...