Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based
  Ranking Methods   To detect the irregular trade behaviors in the stock market is the important
problem in machine learning field. These irregular trade behaviors are
obviously illegal. To detect these irregular trade behaviors in the stock
market, data scientists normally employ the supervised learning techniques. In
this paper, we employ the three graph Laplacian based semi-supervised ranking
methods to solve the irregular trade behavior detection problem. Experimental
results show that that the un-normalized and symmetric normalized graph
Laplacian based semi-supervised ranking methods outperform the random walk
Laplacian based semi-supervised ranking method.

15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat