Study on Massive Text Classification Mining Grid System

Author

Yang, Jian ; Sun, Mei ; Zhou, Wenjun

Author_Institution

Jiangsu Inst. of Educ., Nanjing, China

fYear

2010

fDate

23-25 July 2010

Firstpage

1

Lastpage

6

Abstract

Instant text classification data mining of massive text data is a difficult issue because of the wide range of sources, different types of text. The grid-based Massive text data classification algorithm is studied. The Massive text classification grid is designed. And the massive excavation text classification grid architecture is advanced. The grid user registration and certification, classification operations management, and real-time data collection, sorting and immediate real-time analysis capabilities is established.

Keywords

data mining; grid computing; pattern classification; software architecture; text analysis; classification operations management; grid user registration-certification; massive excavation text classification grid architecture; massive text classification mining grid system; real-time analysis capabilities; real-time data collection; Algorithm design and analysis; Certification; Classification algorithms; Data mining; IP networks; Learning systems; Sorting; Sun; Text categorization; Text mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on

Conference_Location

Ternopil

Print_ISBN

978-1-4244-6972-7

Electronic_ISBN

978-1-4244-6974-1

Type

conf

DOI

10.1109/IEEC.2010.5533247

Filename

5533247