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KDD
2003
ACM
266views Data Mining» more  KDD 2003»
16 years 5 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. ...
148
Voted
BMCBI
2010
132views more  BMCBI 2010»
15 years 5 months ago
Next generation tools for genomic data generation, distribution, and visualization
Background: With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the ...
David A. Nix, Tonya L. Di Sera, Brian K. Dalley, B...
SIGSOFT
2002
ACM
16 years 5 months ago
Improving program slicing with dynamic points-to data
Program slicing is a potentially useful analysis for aiding program understanding. However, slices of even small programs are often too large to be generally useful. Imprecise poi...
Markus Mock, Darren C. Atkinson, Craig Chambers, S...
154
Voted
SIGMETRICS
2006
ACM
102views Hardware» more  SIGMETRICS 2006»
15 years 11 months ago
On the way to a distributed systems calculus: an end-to-end network calculus with data scaling
Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide e...
Markus Fidler, Jens B. Schmitt
IJCNN
2006
IEEE
15 years 11 months ago
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
Ting Yu, Tony Jan, John K. Debenham, Simeon J. Sim...