Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Novel Approach for Web Page Set Mining   The one of the most time consuming steps for association rule mining is the
computation of the frequency of the occurrences of itemsets in the database.
The hash table index approach converts a transaction database to an hash index
tree by scanning the transaction database only once. Whenever user requests for
any Uniform Resource Locator (URL), the request entry is stored in the Log File
of the server. This paper presents the hash index table structure, a general
and dense structure which provides web page set extraction from Log File of
server. This hash table provides information about the original database. Web
Page set mining (WPs-Mine) provides a complete representation of the original
database. This approach works well for both sparse and dense data
distributions. Web page set mining supported by hash table index shows the
performance always comparable with and often better than algorithms accessing
data on flat files. Incremental update is feasible without reaccessing the
original transactional database.

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The categories of this paper are: eess
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex