Enhancement in K-Mean Clustering in Big Data
Main Article Content
Abstract
Big [1] data is a data set that is big in size. It is much complicated so traditional data processing application software is not capable to handle them. There are several challenges such as capture of data, storage of data, searching of data, & transfer of data. Some challenges are related to visualization & querying of data. Scientist has faced several challenges in e-Science such as meteorology, complicated physics simulation & environmental researches. Lot of challenges has been faced due to big data in case of biology & genomics. The problems with existing system[6] were search, sharing, storage, transfer, visualization, querying-updating. These problems can be reduced by using proposed algorithm. In this paper we have explain clustering and proposed algorithm is discussed.
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.