Design and Implementation of an Intelligent Automatic Question Answering System Based on Data Mining

被引：0

作者：

Qu, Zhe ^{[1
]}

Wang, Qin ^{[2
]}

机构：

[1] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England

[2] Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Peoples R China

来源：

ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT II | 2012年 / 7332卷

关键词：

data mining; association rules; question answering system; ASSOCIATION RULES; ALGORITHM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper applies data mining algorithms into intelligent question answering system, proposes a question answering scheme based on an improved data mining algorithms and achieves an efficient intelligent question answering system.

引用

页码：137 / 146

页数：10

共 18 条

[1]

AGRAWAL R, 1996, 10004 IBM RJ

[2]

Agrawal R., 1994, P 20 INT C VER LARG, P487, DOI DOI 10.5555/645920.672836

[3]

[Anonymous], 2011, COMP LAB INTR DAT MI

[4]

[Anonymous], 2011, Pei. data mining concepts and techniques

[5]

[Anonymous], 1993, P 1993 ACM SIGMOD IN

[6]

Dong C., 2004, COMPUTER SCI PRACTIC, P109

[7] On clustering validation techniques [J].

Halkidi, M ;

Batistakis, Y ;

Vazirgiannis, M .

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2001, 17 (2-3) :107-145

[8]

Hastie T., 2009, ELEMENTS STAT LEARNI, DOI DOI 10.1007/978-0-387-84858-7

[9]

Hearst M.A., 1999, P ASS COMPUTATIONAL, P3, DOI DOI 10.3115/1034678.1034679

[10] Mining association rules using inverted hashing and pruning [J].

Holt, JD ;

Chung, SM .

INFORMATION PROCESSING LETTERS, 2002, 83 (04) :211-220

← 1 2 →