Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Integrating Association Rules with Decision Trees in Object-Relational
  Databases   Research has provided evidence that associative classification produces more
accurate results compared to other classification models. The Classification
Based on Association (CBA) is one of the famous Associative Classification
algorithms that generates accurate classifiers. However, current association
classification algorithms reside external to databases, which reduces the
flexibility of enterprise analytics systems. This paper implements the CBA in
Oracle database using two variant models: hardcoding the CBA in Oracle Data
Mining (ODM) package and Integrating Oracle Apriori model with the Oracle
Decision tree model. We compared the proposed model performance with Naive
Bayes, Support Vector Machine, Random Forests, and Decision Tree over 18
datasets from UCI. Results showed that our models outperformed the original CBA
model with 1 percent and is competitive to chosen classification models over
benchmark datasets.

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The categories of this paper are: quant-ph
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The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
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The categories of this paper are: econ
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The categories of this paper are: stat
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The categories of this paper are: math