A context-aware data mining process model based framework for supporting evaluation of data mining results

Kweku-Muata Osei-Bryson

doi:10.1016/j.eswa.2011.07.117

ScienceGate Book Chapters

JOURNAL ARTICLE

A context-aware data mining process model based framework for supporting evaluation of data mining results

Kweku-Muata Osei-Bryson

Year: 2011 Journal: Expert Systems with Applications Vol: 39 (1)Pages: 1156-1164 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2011.07.117

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Process mining Data mining Process (computing) Context (archaeology) Data science Machine learning Work in process Business process modeling Business process

Metrics

Cited By

1.57

FWCI (Field Weighted Citation Impact)

Refs

0.85

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Multi-Criteria Decision Making

Social Sciences → Decision Sciences → Management Science and Operations Research

Big Data and Business Intelligence

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

Cognitive Science and Mapping

Physical Sciences → Computer Science → Artificial Intelligence

A context-aware data mining process model based framework for supporting evaluation of data mining results

Metrics

Citation History

Topics

Related Documents

A Context-Aware Framework for Supporting the Evaluation of Data Mining Results

Data-aware process mining

Towards supporting expert evaluation of clustering results using a data mining process model

Context-Aware Data Mining Framework for Wireless Medical Application

Context-aware adaptive data stream mining