Data Mining And Its Significance In Industrial Applications
Main Article Content
Abstract
Data Mining is the process of analyzing the data from different perspective and summarizing it into meaningful information. In fact, Data Mining is a technique involving non-trivial extraction of novel, implicit, and actionable knowledge from a huge sets of data, and is an emerging technology in the recent era, with the increased use of databases to store and retrieve information efficiently. This is also termed as ‘Knowledge Discovery in Database’, which enables the data exploration, data analysis, and data visualization of huge database at a high level of abstraction. These techniques are used to predict future trends and behaviors, thus allowing the business to make proactive and knowledge driven decisions. This paper focus on the Data Mining techniques, its architecture, its process, methodologies employed, kinds of data mined, functionalities, general and technical issues, its significance and application areas in relevance to today’s business environment, and the scope for research in the related areas.
Â
Keywords: Database, Data Mining, Data Warehouse, KDD, Recent techniques
Downloads
Article Details
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.