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» Knowledge Discovery from Multiple Databases
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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 6 days ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
EDBT
2000
ACM
15 years 3 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
BMCBI
2005
156views more  BMCBI 2005»
14 years 11 months ago
DynGO: a tool for visualizing and mining of Gene Ontology and its associations
Background: A large volume of data and information about genes and gene products has been stored in various molecular biology databases. A major challenge for knowledge discovery ...
Hongfang Liu, Zhang-Zhi Hu, Cathy H. Wu
IDEAL
2003
Springer
15 years 5 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
ICTAI
2000
IEEE
15 years 4 months ago
Reverse mapping of referral links from storage hierarchy for Web documents
In world wide web, a document is usually made up of multiple pages, each one of which has a unique URL address and links to each other by hyperlink pointers. Related documents are...
Chen Ding, Chi-Hung Chi, Vincent Tam