Sciweavers

19936 search results - page 399 / 3988
» Inductive process modeling
Sort
View
COR
2006
97views more  COR 2006»
15 years 6 months ago
Evaluating the performance of cost-based discretization versus entropy- and error-based discretization
Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretiz...
Davy Janssens, Tom Brijs, Koen Vanhoof, Geert Wets
DATAMINE
2002
147views more  DATAMINE 2002»
15 years 6 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
JUCS
2010
164views more  JUCS 2010»
15 years 5 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung
BPM
2007
Springer
130views Business» more  BPM 2007»
16 years 1 months ago
Process Mining Based on Clustering: A Quest for Precision
Process mining techniques attempt to extract non-trivial and useful information from event logs recorded by information systems. For example, there are many process mining techniqu...
Ana Karla Alves de Medeiros, Antonella Guzzo, Gian...
BPM
2007
Springer
155views Business» more  BPM 2007»
15 years 11 months ago
Fuzzy Mining - Adaptive Process Simplification Based on Multi-perspective Metrics
Abstract. Process Mining is a technique for extracting process models from execution logs. This is particularly useful in situations where people have an idealized view of reality....
Christian W. Günther, Wil M. P. van der Aalst