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» Learning to Predict Rare Events in Event Sequences
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BPM
2007
Springer
162views Business» more  BPM 2007»
14 years 1 months ago
The Predictive Aspect of Business Process Intelligence: Lessons Learned on Bridging IT and Business
This paper presents the arguments for a research proposal on predicting business events in a Business Process Intelligence (BPI) context. The paper argues that BPI holds a potentia...
Moisés Lima Pérez, Charles Mø...
BMCBI
2010
163views more  BMCBI 2010»
13 years 2 months ago
RISCI - Repeat Induced Sequence Changes Identifier: a comprehensive, comparative genomics-based, in silico subtractive hybridiza
Background -: The availability of multiple whole genome sequences has facilitated in silico identification of fixed and polymorphic transposable elements (TE). Whereas polymorphic...
Vipin Singh, Rakesh K. Mishra
DCOSS
2007
Springer
14 years 1 months ago
Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Luís M. A. Bettencourt, Aric A. Hagberg, Le...
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
13 years 9 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
DAWAK
2004
Springer
14 years 1 months ago
Mining Periodic Patterns in Sequence Data
Abstract. Periodic pattern mining is the problem that regards temporal regularity. There are many emerging applications in periodic pattern mining, including web usage recommendati...
Kuo-Yu Huang, Chia-Hui Chang