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» Divide-and-Conquer Strategies for Process Mining
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TEC
2008
104views more  TEC 2008»
13 years 5 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
EDM
2010
134views Data Mining» more  EDM 2010»
13 years 6 months ago
Examining Learner Control in a Structured Inquiry Cycle Using Process Mining
High potential variation in prior knowledge, metacognitive skills, and motivation within learner populations can prompt design strategies that combine explicit structuring and scaf...
Larry Howard, Julie Johnson, Carin Neitzel
BPM
2009
Springer
168views Business» more  BPM 2009»
13 years 12 months ago
Divide-and-Conquer Strategies for Process Mining
The goal of Process Mining is to extract process models from logs of a system. Among the possible models to represent a process, Petri nets is an ideal candidate due to its graphic...
Josep Carmona, Jordi Cortadella, Michael Kishinevs...
IEAAIE
2009
Springer
13 years 11 months ago
Using Genetic Process Mining Technology to Construct a Time-Interval Process Model
Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to...
Chieh-Yuan Tsai, I-Ching Chen
DMIN
2009
121views Data Mining» more  DMIN 2009»
13 years 3 months ago
Data Mining in the Real World: Experiences, Challenges, and Recommendations
Abstract - Data mining is used regularly in a variety of industries and is continuing to gain in both popularity and acceptance. However, applying data mining methods to complex re...
Gary M. Weiss