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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 8 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
KDD
2003
ACM
266views Data Mining» more  KDD 2003»
14 years 8 months ago
Applying data mining in investigating money laundering crimes
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
MSR
2009
ACM
14 years 11 days ago
On mining data across software repositories
Software repositories provide abundance of valuable information about open source projects. With the increase in the size of the data maintained by the repositories, automated ext...
Prasanth Anbalagan, Mladen A. Vouk
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 11 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...
WKDD
2008
CPS
97views Data Mining» more  WKDD 2008»
14 years 2 months ago
Knowledge Management in the Ubiquitous Software Development
The continuous technical advances have lead to the proliferation of very small and very cheap microprocessors, equipped with sensors and capacity of wireless communication. The in...
José Miguel Rubio León