Author Search: Osmar R. Zaiane

 

On Frequent Itemset Mining With Closure

2nd International Conference on Information Technology (ICIT 2005)
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad appli...
http://www.cs.ualberta.ca/~zaiane/postscript/... [0 hits]

 

 

 

Finding All Frequent Patterns Starting from the Closure

International Conference on Advanced Data Mining and Applications (ADMA'05)
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad appli...
http://www.cs.ualberta.ca/~zaiane/postscript/... [0 hits]

 

 

Relevance of Counting in Data Mining Tasks

International Conference on Advanced Data Mining and Applications (ADMA'05)
In many languages, the English word “computer” is often literally translated to “the counting machine.” Counting is appa...
http://www.cs.ualberta.ca/~zaiane/postscript/... [1 hits]

 

 

Pattern Lattice Traversal by Selective Jumps

ACM SIGKDD Open Source Data Mining Workshop on Frequent Pattern Mining Implementations (OSDM'05)
Regardless of the frequent patterns to discover, either the full frequent patterns or the condensed ones, either closed ...
http://www.cs.ualberta.ca/~zaiane/postscript/... [0 hits]

 

 

On Pruning and Tuning Rules for Associative Classifiers

Ninth International Conference on Knowledge-Based Intelligence Information & Engineering Systems (KES'05)
The integration of supervised classification and association rules for building classification models is not new. One ma...
http://www.cs.ualberta.ca/~zaiane/postscript/... [3 hits]

 

 

Mining with Constraints by Pruning and Avoiding Ineffectual Processing

The 18th Australian Joint Conference on Artificial Intelligence
It is known that algorithms for discovering association rules generate an overwhelming number of those rules. While many...
http://www.cs.ualberta.ca/~zaiane/postscript/... [1 hits]

 

 

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