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» Improving process models by discovering decision points
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CHI
2009
ACM
14 years 9 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
BPM
2008
Springer
192views Business» more  BPM 2008»
13 years 10 months ago
Trace Clustering in Process Mining
Process mining has proven to be a valuable tool for analyzing operational process executions based on event logs. Existing techniques perform well on structured processes, but stil...
Minseok Song, Christian W. Günther, Wil M. P....
QRE
2010
129views more  QRE 2010»
13 years 7 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry
IUI
2010
ACM
13 years 10 months ago
Finding your way in a multi-dimensional semantic space with luminoso
We present Luminoso, a tool that helps researchers to visualize and understand a dimensionality-reduced semantic space by exploring it interactively. It also streamlines the proce...
Robert Speer, Catherine Havasi, K. Nichole Treadwa...
CLA
2004
13 years 10 months ago
Emulating a Cooperative Behavior in a Generic Association Rule Visualization Tool
Traditional framework for mining association rules has pointed out the derivation of many redundant rules. In order to be reliable in a decision making process, such discovered rul...
I. Nsir, Sadok Ben Yahia, Engelbert Mephu Nguifo