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PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
14 years 3 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
ISCA
1998
IEEE
151views Hardware» more  ISCA 1998»
14 years 3 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
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
14 years 3 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
CIKM
2009
Springer
14 years 2 months ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 2 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...