Nonuniform Granularity-Based Classification in Social Interest Detection
Joint Authors
Shao, Wenjuan
Shen, Qingguo
Jin, Xianli
Huang, Liaoruo
Chen, Jingjing
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Social interest detection is a new computing paradigm which processes a great variety of large scale resources.
Effective classification of these resources is necessary for the social interest detection.
In this paper, we describe some concepts and principles about classification and present a novel classification algorithm based on nonuniform granularity.
Clustering algorithm is used to generate a clustering pedigree chart.
By using suitable classification cutting values to cut the chart, we can get different branches which are used as categories.
The size of cutting value is vital to the performance and can be dynamically adapted in the proposed algorithm.
Experiments results carried on the blog posts illustrate the effectiveness of the proposed algorithm.
Furthermore, the results for comparing with Naive Bayes, k-nearest neighbor, and so forth validate the better classification performance of the proposed algorithm for large scale resources.
American Psychological Association (APA)
Shao, Wenjuan& Shen, Qingguo& Jin, Xianli& Huang, Liaoruo& Chen, Jingjing. 2017. Nonuniform Granularity-Based Classification in Social Interest Detection. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190614
Modern Language Association (MLA)
Shao, Wenjuan…[et al.]. Nonuniform Granularity-Based Classification in Social Interest Detection. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1190614
American Medical Association (AMA)
Shao, Wenjuan& Shen, Qingguo& Jin, Xianli& Huang, Liaoruo& Chen, Jingjing. Nonuniform Granularity-Based Classification in Social Interest Detection. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190614
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190614