Work

Multi-level sequence mining based on gsp

Year: 2012

Type: article

Abstract: Mining sequential patterns is an important problem in the field of data mining and many algorithms and optimization techniques have been published to deal with that problem.The GSP algorithm, which is one of them, can be used for mining sequential patterns with some additional constraints.In this paper, we propose a new algorithm for mining multi-level sequential patterns based on GSP.The idea is that if a more general item appears in a pattern, the pattern has higher or at least the same support as the one containing the corresponding specific item.However, too generalized sequence patterns are not important for user.In our algorithm generalization uses a selective method based on information content of patterns.This allows us to mine more patterns with the same minimal support threshold and to reveal new potentially useful patterns.

Source: Acta Electrotechnica et Informatica

DOI: 10.2478/v10198-012-0012-8

Authors: Michal Šebek, Martin Hlosta, Jan Kupčík, Jaroslav Zendulka, Tomáš Hruška

Institution: Brno University of Technology

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Technology Agency of the Czech Republic

Award: Improving Security of the Internet by Using System for Analyzing of Malicious Code Spreading