Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Combining inductive and deductive tools for data analysis

Combining inductive and deductive tools for data analysis In this paper we propose the combined use of different methods to improve the data analysis process. This is obtained by combining inductive and deductive techniques. We also use different inductive techniques such as clustering algorithms, to derive data partition, and decision trees induction, characterizing classes in terms of logical rules. Inductive techniques are used for generating hypotheses from data whereas deductive techniques are used to derive knowledge and to verify hypotheses. In order to guide users in the analysis process, we have developed a system which integrates deductive tools and data mining tools such as classification algorithms, features selection algorithms, visualization tools and tools to manipulate data sets easily. The system developed is currently used in a large project whose aim is the integration of information sources containing data concerning the socio-economic aspects of Calabria and its subsequent analysis. Several experiments on the socio-economic data have shown that the combined use of different techniques improves both the comprehensibility and the accuracy of models. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png AI Communications IOS Press

Combining inductive and deductive tools for data analysis

AI Communications , Volume 14 (2) – Jan 1, 2001

Loading next page...
 
/lp/ios-press/combining-inductive-and-deductive-tools-for-data-analysis-j0eafgkATr

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
IOS Press
Copyright
Copyright © 2001 by IOS Press, Inc
ISSN
0921-7126
eISSN
1875-8452
Publisher site
See Article on Publisher Site

Abstract

In this paper we propose the combined use of different methods to improve the data analysis process. This is obtained by combining inductive and deductive techniques. We also use different inductive techniques such as clustering algorithms, to derive data partition, and decision trees induction, characterizing classes in terms of logical rules. Inductive techniques are used for generating hypotheses from data whereas deductive techniques are used to derive knowledge and to verify hypotheses. In order to guide users in the analysis process, we have developed a system which integrates deductive tools and data mining tools such as classification algorithms, features selection algorithms, visualization tools and tools to manipulate data sets easily. The system developed is currently used in a large project whose aim is the integration of information sources containing data concerning the socio-economic aspects of Calabria and its subsequent analysis. Several experiments on the socio-economic data have shown that the combined use of different techniques improves both the comprehensibility and the accuracy of models.

Journal

AI CommunicationsIOS Press

Published: Jan 1, 2001

There are no references for this article.