Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pattern Detection with Rare Item-set Mining   The discovery of new and interesting patterns in large datasets, known as
data mining, draws more and more interest as the quantities of available data
are exploding. Data mining techniques may be applied to different domains and
fields such as computer science, health sector, insurances, homeland security,
banking and finance, etc. In this paper we are interested by the discovery of a
specific category of patterns, known as rare and non-present patterns. We
present a novel approach towards the discovery of non-present patterns using
rare item-set mining.

37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an