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» Mining Multiple Large Databases
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 2 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
SIGIR
2011
ACM
14 years 4 months ago
Decayed DivRank: capturing relevance, diversity and prestige in information networks
Many network-based ranking approaches have been proposed to rank objects according to different criteria, including relevance, prestige and diversity. However, existing approache...
Pan Du, Jiafeng Guo, Xueqi Cheng
SIGSOFT
2003
ACM
16 years 2 months ago
A family of test adequacy criteria for database-driven applications
Although a software application always executes within a particular environment, current testing methods have largely ignored these environmental factors. Many applications execut...
Gregory M. Kapfhammer, Mary Lou Soffa
ICDE
2006
IEEE
177views Database» more  ICDE 2006»
16 years 3 months ago
Searching Substructures with Superimposed Distance
Efficient indexing techniques have been developed for the exact and approximate substructure search in large scale graph databases. Unfortunately, the retrieval problem of structu...
Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu
DILS
2007
Springer
15 years 5 months ago
Accelerating Disease Gene Identification Through Integrated SNP Data Analysis
Information about small genetic variations in organisms, known as single nucleotide polymorphism (SNPs), is crucial to identify candidate genes that have a role in disease suscepti...
Paolo Missier, Suzanne M. Embury, Cornelia Hedeler...