Paper Info
Title
Theory and support for process frameworks of knowledge discovery and data mining from ERP systems
Abstract
Existing theory has framed the process of information extraction and agglomeration, also referred to as the knowledge discovery (KD) process, as a series of strategic search decisions, subject to constraints, with the objective ot attaining a sufficient level of domain-specific knowledge for use in strategic planning. Supported by the experiences of firms representative of Client, Developer, and Third-party segments of the data mining (DM) community, this work provides an extension to this basic framework. The implications provided suggest a wealth of untapped opportunities in the area of KD research.
Year
DOI
Venue
2003
10.1016/S0378-7206(02)00093-9
Information & Management
Keywords
Field
DocType
data mining,firms representative,erp system,strategic search decision,erp section: research,knowledge discovery,third-party segment,basic framework,process,knowledge discovery in databases,domain-specific knowledge,existing theory,strategic planning,kd research,erp,process framework,information extraction
Data science,Data mining,Economies of agglomeration,Computer science,Knowledge management,Information extraction,Knowledge extraction,Business process discovery,Strategic planning,Software mining
Journal
Volume
Issue
ISSN
40
7
Information & Management
Citations 
PageRank 
References 
14
0.77
13
Authors
1
Name
Order
Citations
PageRank
Elliot Bendoly131516.16