DocumentCode :
3190819
Title :
Data mining in law with adaptive learning techniques
Author :
Schweighofer, Erich ; Merkl, Dieter
Author_Institution :
Inst. of Public Int. Law, Wien Univ., Austria
fYear :
1999
fDate :
1999
Firstpage :
799
Lastpage :
803
Abstract :
The freely available law on the Internet could be one of the best applications of data mining. The growing complexity of legal rules and the necessary adaptation to user needs requires better instruments than manual browsing and searching interfaces. Our intelligent agent offers information reconnaissance by classifying and describing unknown text corpora of search results. Based on standard agent technology, our research on self-organising maps focuses on adaptive learning techniques for information reconnaissance. The units of the self-organising map are labeled with the most appropriate keywords. The user can choose between the various units in order to refine the next step of research. First results have shown the potential of this approach
Keywords :
Internet; adaptive systems; data mining; information retrieval; law administration; self-organising feature maps; software agents; text analysis; Internet; adaptive learning techniques; data mining; information reconnaissance; intelligent agent; keywords; law; legal rules; search results; searching interfaces; self-organising maps; standard agent technology; unknown text corpora; user needs; Application software; Data mining; Information retrieval; Instruments; Intelligent agent; Internet; Law; Legal factors; National electric code; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 1999. Proceedings. Tenth International Workshop on
Conference_Location :
Florence
Print_ISBN :
0-7695-0281-4
Type :
conf
DOI :
10.1109/DEXA.1999.795286
Filename :
795286
Link To Document :
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