Authors:
Jon Espen Ingvaldsen
and
Jon Atle Gulla
Affiliation:
Norwegian University of Science and Technology (NTNU), Norway
Keyword(s):
Search, Process Mining, Business Process Intelligence, Decision Support Systems, ETL.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Business Analytics
;
Business Process Management
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
Health Information Systems
;
Industrial Applications of Artificial Intelligence
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Natural Language Interfaces to Intelligent Systems
;
Sensor Networks
;
Signal Processing
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Soft Computing
;
Software Engineering
;
Strategic Decision Support Systems
;
Symbolic Systems
Abstract:
Search is the process of locating information that matches a given query. Extract, Transform and Load (ETL) editors provide a user friendly and flexible environment for creating operation chains and digging into and explore data. In this paper, we describe the implementation of a process mining framework, the EVS Process Miner, which incorporates ideas from search and ETL. We also describe two industrial cases that show the value of applying search and graphical operation chain environments in process mining work.