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ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
15 years 6 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...
SAC
2008
ACM
14 years 11 months ago
Anomaly detection algorithms in logs of process aware systems
Today, there is a variety of systems that support business process as a whole or partially. However, normative systems are not appropriate for some domains (e.g. health care) as a...
Fábio de Lima Bezerra, Jacques Wainer
FLAIRS
2009
14 years 9 months ago
A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture
Manual knowledge acquisition is usually a costly and timeconsuming process. Automatic knowledge acquisition methods can then significantly support the knowledge engineer. In this ...
Martin Atzmueller, Grzegorz J. Nalepa
DMIN
2009
142views Data Mining» more  DMIN 2009»
14 years 9 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
BPM
2009
Springer
175views Business» more  BPM 2009»
15 years 6 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira