Workflow Clustering Using Semantic Similarity Measures

Ralph Bergmann; Gilbert Müller; Daniel Wittkowsky

doi:10.1007/978-3-642-40942-4_2

ScienceGate Book Chapters

BOOK-CHAPTER

Workflow Clustering Using Semantic Similarity Measures

Ralph Bergmann Gilbert Müller Daniel Wittkowsky

Year: 2013 Lecture notes in computer science Pages: 13-24 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-40942-4_2

Get Full-Text PDF Get Analytical Report

Keywords:

Workflow Cluster analysis Computer science Context (archaeology) Workflow technology Data mining Workflow engine Workflow management system Fuzzy clustering Similarity (geometry) Information retrieval Database Artificial intelligence

Metrics

Cited By

2.17

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Business Process Modeling and Analysis

Social Sciences → Business, Management and Accounting → Management Information Systems

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Distributed and Parallel Computing Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Workflow Clustering Using Semantic Similarity Measures

Metrics

Citation History

Topics

Related Documents

Workflow Clustering Using Semantic Similarity Measures

Clustering of Argument Graphs Using Semantic Similarity Measures

Semantic clustering of images using semantic similarity measures: A comparative study

Similarity-based workflow clustering

XML schema clustering with semantic and hierarchical similarity measures