Paper Info
Title
A NIS-apriori based rule generator in prolog and its functionality for table data
Abstract
Rough Non-deterministic Information Analysis (RNIA) is a rough set based framework for handling several kinds of incomplete information. In our previous research on RNIA, we gave definitions according to two modal concepts, the certainty and the possibility, and thoroughly investigated their mathematical properties. For rule generation in RNIA, we proposed NIS-Apriori algorithm, which is an extended Apriori algorithm. Our previous implementation of NIS-Apriori in C suffered from a lack of clarity caused by difficulties in expressing non-deterministic information by procedural languages. Therefore, we recently decided to improve the algorithm's design and re-implement it in Prolog. This paper reports the current state of our algorithmic framework and outlines some new aspects of its functionality.
Year
DOI
Venue
2011
10.1007/978-3-642-24425-4_31
RSKT
Keywords
Field
DocType
mathematical property,nis-apriori algorithm,non-deterministic information,table data,incomplete information,extended apriori algorithm,previous research,previous implementation,rough non-deterministic information analysis,algorithmic framework,rule generator,current state,rough sets,apriori algorithm,prolog
Procedural programming,CLARITY,Computer science,A priori and a posteriori,Apriori algorithm,Rough set,Theoretical computer science,Prolog,Artificial intelligence,Complete information,Machine learning,Modal
Conference
Volume
ISSN
Citations 
6954.0
0302-9743
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Hiroshi Sakai117113.84
Michinori Nakata229237.49
Dominik Ślęzak355350.04