Use of Domain Knowledge In University
| Research Area: | Volume 3 Issue 2, Mar. 2012 | Year: | 2012 |
|---|---|---|---|
| Type of Publication: | Article | Keywords: | domain, problem description, apriori algorithm, comparative study |
| Authors: |
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| Journal: | IJECCE | Volume: | 3 |
| Number: | 2 | Pages: | 171 - 175 |
| Month: | March | ||
| Abstract: | Data mining is the process of extracting useful
information from the huge amount of data stored in the
databases. Data mining tools and techniques help to predict
business trends those can occur in near future. Association rule
mining is an important technique to discover hidden
relationships among items in the transaction. In this Work
Apriori, Apriori with Domain Knowledge, partitioning and
sampling algorithms have been implemented and their
performance is evaluated extensively. Apriori algorithm is
implemented using K-Way join approach for support counting.
Partitioning approach is implemented in the traditional In the
case of sampling algorithm the dataset is first partitioned into a
number of given partitions and then algorithm is applied by
considering one partition as a sample |
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