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» Improving Mining Quality by Exploiting Data Dependency
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
15 years 10 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...
MSV
2004
14 years 11 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
78
Voted
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 4 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
HICSS
2000
IEEE
155views Biometrics» more  HICSS 2000»
15 years 1 months ago
Mining Time Dependency Patterns in Clinical Pathways
Clinical pathways are widely adopted by many large hospitals around the world in order to provide high-quality patient treatment and reduce the length of hospital stay of each pat...
Fu-ren Lin, Shien-chao Chou, Shung-mei Pan, Yao-me...
85
Voted
HPCA
2003
IEEE
15 years 9 months ago
Dynamic Data Dependence Tracking and its Application to Branch Prediction
To continue to improve processor performance, microarchitects seek to increase the effective instruction level parallelism (ILP) that can be exploited in applications. A fundament...
Lei Chen, Steve Dropsho, David H. Albonesi