Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Document stream clustering: experimenting an incremental algorithm and
  AR-based tools for highlighting dynamic trends   We address here two major challenges presented by dynamic data mining: 1) the
stability challenge: we have implemented a rigorous incremental density-based
clustering algorithm, independent from any initial conditions and ordering of
the data-vectors stream, 2) the cognitive challenge: we have implemented a
stringent selection process of association rules between clusters at time t-1
and time t for directly generating the main conclusions about the dynamics of a
data-stream. We illustrate these points with an application to a two years and
2600 documents scientific information database.

4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics