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CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 3 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
CIKM
2009
Springer
14 years 2 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
ISCA
1998
IEEE
151views Hardware» more  ISCA 1998»
14 years 2 months ago
Alternative Implementations of Two-Level Adaptive Branch Prediction
As the issue rate and depth of pipelining of high performance Superscalar processors increase, the importance of an excellent branch predictor becomes more vital to delivering the...
Tse-Yu Yeh, Yale N. Patt
BIBE
2007
IEEE
141views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
Graph and Topological Structure Mining on Scientific Articles
In this paper, we investigate a new approach for literature mining. We use frequent subgraph mining, and its generalization topological structure mining, for finding interesting re...
Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontk...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 1 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...