Multi-resolution Keyword Mining Algorithm based on Frequent Pattern Technique

DOI

10.2991/icebi.2010.57How to use a DOI?

Keywords

keyword mining, frequent pattern, W3P-Tree

Abstract

Finding out keywords from massive text document is a hard problem because an amount of synonyms are frequently used in a text. This paper proposes a keyword mining algorithm based on analyzing the ¡°frequent patterns¡± of the words in a text. We use a new method referring the cluster process to determine the words¡¯ relationship by their distances. We firstly extend the FP-tree to a new structure named W3P-Tree which is used to maintain the text information instead of database transactions, then present our mining algorithm following with the growth of W3P-tree.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaodong Ji
PY  - 2010/12
DA  - 2010/12
TI  - Multi-resolution Keyword Mining Algorithm based on Frequent Pattern Technique
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 412
EP  - 417
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.57
DO  - 10.2991/icebi.2010.57
ID  - Ji2010/12
ER  -