Dynamic frequent itemset mining based on matrix appriori algorithm
by
Oğuz, Damla.
Title
:
Dynamic frequent itemset mining based on matrix appriori algorithm
Author
:
Oğuz, Damla.
Personal Author
:
Oğuz, Damla.
Publication Information
:
[s.l.]: [s.n.], 2012.
Physical Description
:
ix, 41 leaves.: ill. + 1 computer laser optical disc.
Abstract
:
The frequent itemset mining algorithms discover the frequent itemsets from a database. When the database is updated, the frequent itemsets should be updated as well. However, running the frequent itemset mining algorithms with every update is inefficent. This is called the dynamic update problem of frequent itemsets and the solution is to devise an algorithm that can dynamically mine the frequent itemsets. In this study, a dynamic frequent itemset mining algorithm, which is called Dynamic Matrix Apriori, is proposed and explained. In addition, the proposed algorithm is compared using two datasets with the base algorithm Matrix Apriori which should be re-run when the database is updated.
Subject Term
:
Data mining.
Association rule mining.
Added Author
:
Ergenç, Belgin.
Added Corporate Author
:
İzmir Institute of Technology. Computer Engineering.
Added Uniform Title
:
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.
İzmir Institute of Technology: Computer Engineering--Thesis (Master).
Electronic Access
:
Library | Material Type | Item Barcode | Shelf Number | Status |
---|
IYTE Library | Thesis | T001016 | QA76.9.D343 O359 2012 | Tez Koleksiyonu |
IYTE Library | Supplementary CD-ROM | ROM1942 | QA76.9.D343 O359 2012 EK.1 | Tez Koleksiyonu |