Improving RDF Data Through Association Rule Mining

Ziawasch Abedjan; Felix Naumann

doi:10.1007/s13222-013-0126-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Improving RDF Data Through Association Rule Mining

Ziawasch Abedjan Felix Naumann

Year: 2013 Journal: Datenbank-Spektrum Vol: 13 (2)Pages: 111-120 Publisher: Springer Science+Business Media

DOI: 10.1007/s13222-013-0126-x

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Predicate (mathematical logic) RDF Association rule learning Data mining Linked data Information retrieval RDF Schema SPARQL RDF/XML Usability Semantic Web Programming language

Metrics

Cited By

6.13

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Improving RDF Data Through Association Rule Mining

Metrics

Citation History

Topics

Related Documents

Improving Big Data Visualization and Association Rule Mining through Splunk Database Gap Analysis

Improving Association Rule Mining Using Clustering-Based Data Mining Model for Traffic Accidents

Improving Association Rule Mining Using Clustering-based Discretization of Numerical Data

Association Rule Mining of Relational Data

UNDERSTANDING ASSOCIATION RULE IN DATA MINING