Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Rate of Change Analysis for Interestingness Measures   The use of Association Rule Mining techniques in diverse contexts and domains
has resulted in the creation of numerous interestingness measures. This, in
turn, has motivated researchers to come up with various classification schemes
for these measures. One popular approach to classify the objective measures is
to assess the set of mathematical properties they satisfy in order to help
practitioners select the right measure for a given problem. In this research,
we discuss the insufficiency of the existing properties in literature to
capture certain behaviors of interestingness measures. This motivates us to
present a novel approach to analyze and classify measures. We refer to this as
a rate of change analysis (RCA). In this analysis a measure is described by how
it varies if there is a unit change in the frequency count
$(f_{11},f_{10},f_{01},f_{00})$, for different pre-existing states of the
frequency counts. More formally, we look at the first partial derivative of the
measure with respect to the various frequency count variables. We then use this
analysis to define two new properties, Unit-Null Asymptotic Invariance (UNAI)
and Unit-Null Zero Rate (UNZR). UNAI looks at the asymptotic effect of adding
frequency patterns, while UNZR looks at the initial effect of adding frequency
patterns when they do not pre-exist in the dataset. We present a comprehensive
analysis of 50 interestingness measures and classify them in accordance with
the two properties. We also present empirical studies, involving both synthetic
and real-world datasets, which are used to cluster various measures according
to the rule ranking patterns of the measures. The study concludes with the
observation that classification of measures using the empirical clusters share
significant similarities to the classification of measures done through the
properties presented in this research.

17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
9
The categories of this paper are: nlin