Title :
Study on Massive Text Classification Mining Grid System
Author :
Yang, Jian ; Sun, Mei ; Zhou, Wenjun
Author_Institution :
Jiangsu Inst. of Educ., Nanjing, China
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;
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
DOI :
10.1109/IEEC.2010.5533247
