Paper Info
Title
Incremental classification rules based on association rules using formal concept analysis
Abstract
Concept lattice, core structure in Formal Concept Analysis has been used in various fields like software engineering and knowledge discovery.In this paper, we present the integration of Association rules and Classification rules using Concept Lattice. This gives more accurate classifiers for Classification. The algorithm used is incremental in nature. Any increase in the number of classes, attributes or transactions does not require the access to the previous database. The incremental behavior is very useful in finding classification rules for real time data such as image processing. The algorithm requires just one database pass through the entire database. Individual classes can have different support threshold and pruning conditions such as criteria for noise and number of conditions in the classifier.
Year
DOI
Venue
2005
10.1007/11510888_2
Lecture Notes in Computer Science
Keywords
Field
DocType
incremental classification rule,core structure,accurate classifier,concept lattice,association rule,entire database,incremental behavior,previous database,database pass,formal concept analysis,classification rule,image processing,real time data,artificial intelligence,knowledge engineering,software engineering,real time,data mining,classification,lattice,data processing,knowledge base,transaction processing,formal method,database,expert system,statistical association,pattern recognition
Transaction processing,Data mining,Computer science,Expert system,Association rule learning,Artificial intelligence,Knowledge engineering,Knowledge base,Formal methods,Classifier (linguistics),Formal concept analysis,Machine learning
Conference
Volume
ISSN
ISBN
3587
0302-9743
3-540-26923-1
Citations 
PageRank 
References 
6
0.54
15
Authors
3
Name
Order
Citations
PageRank
Anamika Gupta1161.78
Naveen Kumar29312.32
Vasudha Bhatnagar318117.69