An approach for document pre-processing and K Means algorithm implementation

Title

An approach for document pre-processing and K Means algorithm implementation

Creator

Gowtham S.; Goswami M.; Balachandran K.; Purkayastha B.S.

Description

The web mining is a cutting edge technology, which includes information gathering and classification of information over web. This paper puts forth the concepts of document pre-processing, which is achieved by extraction of keywords from the documents fetched from the web, processing it and generating a term-document matrix, TF-IDF and the different approaches of TF-IDF (term frequency Inverse document frequency) for each respective document. The last step is the clustering of these results through K Means algorithm, by comparing the performance of each approach used. The algorithm is realized on an X64 architecture and coded on Java and Matlab platform. The results are tabulated. 2014 IEEE.

Source

Proceedings - 2014 4th International Conference on Advances in Computing and Communications, ICACC 2014, pp. 162-166.

Date

2014-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

augmented; frequency; K Means clustering; logarithmic; stemming; Stop words; term-document matrix; tf-idf

Coverage

Gowtham S., Christ University, Faculty of Engineering, Bangalore, India; Goswami M., Christ University, Faculty of Engineering, Bangalore, India; Balachandran K., Christ University, Faculty of Engineering, Bangalore, India; Purkayastha B.S., Assam Central University, Silchar, India

Rights

Restricted Access

Relation

ISBN: 978-147994364-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICACC.2014.46

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908701370&doi=10.1109%2fICACC.2014.46&partnerID=40&md5=cb62427cd1b749e2f499429f73f7a008