A text mining method for research project selection using KNN

Author

Rathore, Dhyanendra S. ; Jain, R.C. ; Ujjainiya, Babita

Author_Institution

Dept. of Inf. Technol., SATI, Vidisha, India

fYear

2013

fDate

12-14 Dec. 2013

Firstpage

900

Lastpage

904

Abstract

Today is a time of networking or usually known as Internet. The ways in which users interact with a World Wide Web (Web) site available on Internet provides enormous data processing on the usefulness and effectiveness of Web design elements and content built in it. Selection of research projects is an important research topic in research and development (R&D) project management. With the ever-increasing quantity of text data from a variety of online sources, it is a significant task to categorize or classify these text documents into categories that are manageable and easy to understand. Hence the research and development (R&D) project management also become a great deal. Here in this paper text mining method for research project selection process which is based on the classify of data using KNN.

Keywords

Internet; Web design; data mining; pattern classification; project management; research and development management; text analysis; Internet; KNN; R&D; Web design elements; Web site; World Wide Web; k-nearest neighbour; online sources; research and development project management; research project selection process; text data; text documents; text mining method; Ontologies; Organizations; Proposals; Research and development; Text categorization; Text mining; KNN; Research project selection; Text classification; Text mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on

Conference_Location

Chennai

Type

conf

DOI

10.1109/ICGCE.2013.6823562

Filename

6823562