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An Algorithm for Mining Weighted Negative Sequence Pattern

Year: 2014

Type: article

Abstract: .For the purpose of showing the importance of certain items in the negative sequences and make negative sequences have more practicality, this paper presents a method for mining weighted negative sequence pattern. Set the weight value to calculate the weighted support and prune the weighted negative sequences which don’t meet conditions. We use IRIS data set which belongs to UCI data sets to verify the new algorithm. Comparing with Neg-GSP algorithm, showing the benefit of the weighted concept.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.644-650.1717

Authors: Ming Shi Yang, He Jiang, Hong Jun Yu, Xiu Fang Li, Da Ding

Institution: Qilu University of Technology

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Project of Shandong Province Higher Educational Science and Technology Program

OpenAlex ID: W2054093855

FWCI:

Cites: 9

Cited by: 1

Related to: 10