Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Simple Dynamic Mind-map Framework To Discover Associative
  Relationships in Transactional Data Streams   In this paper, we informally introduce dynamic mind-maps that represent a new
approach on the basis of a dynamic construction of connectionist structures
during the processing of a data stream. This allows the representation and
processing of recursively defined structures and avoids the problem of a more
traditional, fixed-size architecture with the processing of input structures of
unknown size. For a data stream analysis with association discovery, the
incremental analysis of data leads to results on demand. Here, we describe a
framework that uses symbolic cells to calculate associations based on
transactional data streams as it exists in e.g. bibliographic databases. We
follow a natural paradigm of applying simple operations on cells yielding on a
mind-map structure that adapts over time.

14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
18
The categories of this paper are: econ
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin