alexa Improved Correlation Preserved Indexing For Text Mining
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Improved Correlation Preserved Indexing For Text Mining

Vinnarasi Tharania. I1,M.Kanchana2,V.Kavitha3
  1. Assistant Professor, Department Of Information Technology, Karpaga Vinayaga College Of Engineering & Technology, China Kolambakkam, Madurantakam Taluk,Kanchipuram-603308, Tamilnadu, India
  2. Professor, Department Of Information Technology, Karpaga Vinayaga College Of Engineering & Technology, China Kolambakkam, Madurantakam Taluk,Kanchipuram-603308, Tamilnadu, India
  3. Assistant Professor, Department Of Information Technology, Karpaga Vinayaga College Of Engineering & Technology, China Kolambakkam, Madurantakam Taluk,Kanchipuram-603308, Tamilnadu, India
Related article at Pubmed, Scholar Google
 

Abstract

Data mining is an excellent domain to work where new concepts are implemented. The knowledge extraction and knowledge discovery is a major task of engineering organization. Therefore a new field of study, Knowledge Discovery in Database (KDD), and data mining is explored. And many applications are been developed. In this paper a discussion about field of data mining is also placed. Document clustering is a field where we are implementing a concept of grouping of similar objects. Some groups are formed and the documents are placed under those groups. The main motive of this paper is comparison of various algorithms and giving the best result of the clustering. A new algorithm has been proposed in this paper is ICPI (Improved correlation preserving indexing) which is performed by the correlation similarity measure space. ICPI can successfully find out the essential structures rooted in high dimensional document space. The proposed work is to provide an efficient text mining algorithm to perform mining in the document.ICPI can successfully find out essential structures rooted in high dimensional document space.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords