Sciweavers

366 search results - page 8 / 74
» Mining Based on Learning from Process Change Logs
Sort
View
SIGIR
2012
ACM
13 years 2 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
DAWAK
2003
Springer
15 years 4 months ago
Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin
In a data warehouse (DW) environment, when the operational environment does not posses or does not want to inform the data about the changes that occurred, controls have to be impl...
Rosana L. de B. A. Rocha, Leonardo Figueiredo Card...
83
Voted
ICWS
2008
IEEE
15 years 1 months ago
Discovering Reference Process Models by Mining Process Variants
Recently, a new generation of adaptive Process-Aware Information Systems (PAIS) has emerged, which allows for dynamic process and service changes (e.g., to insert, delete, and mov...
Chen Li, Manfred Reichert, Andreas Wombacher
BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 6 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
101
Voted
BPM
2007
Springer
155views Business» more  BPM 2007»
15 years 3 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