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SIGCSE
2009
ACM
193views Education» more  SIGCSE 2009»
16 years 7 months ago
Seattle: a platform for educational cloud computing
Cloud computing is rapidly increasing in popularity. Companies such as RedHat, Microsoft, Amazon, Google, and IBM are increasingly funding cloud computing infrastructure and resea...
Justin Cappos, Ivan Beschastnikh, Arvind Krishnamu...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 6 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 6 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 6 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
16 years 6 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
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