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» Crime Pattern Detection Using Data Mining
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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 2 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 2 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
BMCBI
2008
126views more  BMCBI 2008»
15 years 2 months ago
c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
Background: Computational methods for characterizing novel transcription factor binding sites search for sequence patterns or "motifs" that appear repeatedly in genomic ...
Katerina Kechris, Hao Li
ICCS
2007
Springer
15 years 8 months ago
AIMSS: An Architecture for Data Driven Simulations in the Social Sciences
Abstract. This paper presents a prototype implementation of an intelligent assistance architecture for data-driven simulation specialising in qualitative data in the social science...
Catriona Kennedy, Georgios K. Theodoropoulos, Volk...
ICDE
2011
IEEE
235views Database» more  ICDE 2011»
14 years 6 months ago
Fast data analytics with FPGAs
—The rapidly increasing amount of data available for real-time analysis (i.e., so-called operational business intelligence) is creating an interesting opportunity for creative ap...
Louis Woods, Gustavo Alonso