DocumentCode :
3075911
Title :
The Application of Association Rules Algorithm in the Optimization of Information Processing in Intelligent Question-Answering System
Author :
Yunjuan, Liang ; Dechuan, Kong ; Lijun, Zhang ; Liqiang, Yin
Author_Institution :
Sch. of Inf. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China
fYear :
2011
fDate :
16-17 July 2011
Firstpage :
296
Lastpage :
298
Abstract :
This paper applied association rule mining method in the intelligent question-answering system, dug out the potential rules which user uses to sort the results in the process of browsing the results, and then generated the rule base and optimized the processing of information. Present the steps of mining association rules. Through pre-mining resources and analysis of mining association rules, focus on the improvement of associated Boolean Apriori algorithm and application in the transaction database. Finally, get the algorithm for the strong association rules extracted from the frequent itemsets.
Keywords :
Boolean algebra; data mining; question answering (information retrieval); Boolean Apriori algorithm; association rule mining; information processing; intelligent question-answering system; transaction database; Algorithm design and analysis; Artificial intelligence; Association rules; Itemsets; Apriori Algorithm; Association Rule; Frequent Itemsets; Information Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Society (ISCCS), 2011 International Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4577-0644-8
Type :
conf
DOI :
10.1109/ISCCS.2011.86
Filename :
6004444
Link To Document :
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