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BPM
2009
Springer
175views Business» more  BPM 2009»
15 years 10 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
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 9 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
AUSDM
2008
Springer
224views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Customer Event Rate Estimation Using Particle Filters
Estimating the rate at which events happen has been studied under various guises and in different settings. We are interested in the specific case of consumerinitiated events or t...
Harsha Honnappa
131
Voted
IJPRAI
2002
93views more  IJPRAI 2002»
15 years 3 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
CIKM
2006
Springer
15 years 7 months ago
Mining blog stories using community-based and temporal clustering
In recent years, weblogs, or blogs for short, have become an important form of online content. The personal nature of blogs, online interactions between bloggers, and the temporal...
Arun Qamra, Belle L. Tseng, Edward Y. Chang