Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mining Positive and Negative Association Rules Using CoherentApproach   In the data mining field, association rules are discovered having domain
knowledge specified as a minimum support threshold. The accuracy in setting up
this threshold directly influences the number and the quality of association
rules discovered. Typically, before association rules are mined, a user needs
to determine a support threshold in order to obtain only the frequent item
sets. Having users to determine a support threshold attracts a number of
issues. We propose an association rule mining framework that does not require a
per-set support threshold. Often, the number of association rules, even though
large in number, misses some interesting rules and the rules quality
necessitates further analysis. As a result, decision making using these rules
could lead to risky actions.

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The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
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The categories of this paper are: atom-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph
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The categories of this paper are: supr-con
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The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph