Bagging and Distributed Association Rule Mining Techniques for Distributed Data Mining on Homogeneous Datasets
Main Article Content
Abstract
Data Mining (DM) is the process of extracting useful unknown information from data using patterns. Distributed Data Mining (DDM) evolved from DM in recent years to mine geographical distributed data. Mining can be performed either on geographical distributed data with same attribute or different attribute. This paper implements DDM based on bagging and Distributed Association Rule Mining on soy-bean, iris and contact-lens datasets having same attribute across geographical distributed sites.
Keywords: Distributed Data Mining; classifier approach; bagging; Distributed Association Rule Mining
Keywords: Distributed Data Mining; classifier approach; bagging; Distributed Association Rule Mining
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.