[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Data Mining Research Based on College Forum

  • Conference paper
Algorithms and Architectures for Parallel Processing (ICA3PP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8631))

  • 2628 Accesses

Abstract

Forum plays an important role in college information application. As the data of forum increases every moment, finding the valuable rules of forum data makes the point of the attention. This paper studies a college forum of china and combines a data warehouse with data preprocessing, creating time dimensions and other methods. This paper also analyses data with programming mining model. Cluster the forum data with improved Fuzzy C-Means method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Liang, J.-G., Zhang, Y.-G., Ge, H.: Research on fuzzy C-means cus-tomer clustering algorithm (FCM) in CRM. Journal of Harbin Engineering University 25(2), 257–260 (2004)

    Google Scholar 

  2. Decision Making Using Fuzzy C-means and Inductive Machine Learning for Man-aging Bank Branches Performance, http://citeseer.nj.nec.com/458829.html

  3. Xiex, B.: Validity Measure for Fuzzy Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 13(8), 841–847 (1991)

    Article  Google Scholar 

  4. Bezdek, J.C., Hathaway, R.J., Sabin, M.J., Tucker, W.T.: Convergence theory for fuzzy c-means: Counterexamples and repairs. IEEE Transactions on Systems, Man and Cybernetics 17(5), 873–877 (2013)

    Article  Google Scholar 

  5. Cannon, R.L., Dave, J.V., Bezdek, J.C.: Efficient Implementation of the Fuzzy c-Means Clustering Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence (2), 248–255 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Network and Information Center, Dalian Maritime University, 116026, Dalian, China

    Liming Xue & Zhihuai Li

  2. Transportation Management College, Dalian Maritime University, 116026, Dalian, China

    Weixin Luan

Authors
  1. Liming Xue
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhihuai Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Weixin Luan
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, Illinois Institute of Technology, 60616-3793, Chicago, IL, USA

    Xian-he Sun

  2. School of Computer Science and Technology, Dalian Maritime University, 1 Linghai Road, 116026, Dalian, China

    Wenyu Qu

  3. SEECS, University of Ottawa, 8, King Edward Ave, K1N 6N5, Ottawa, ON, Canada

    Ivan Stojmenovic

  4. Deakin University, 221 Burwood Highway, 3125, Burwood, VIC, Australia

    Wanlei Zhou

  5. Dalian Maritime University, NO.1 Linhai Road Dailian, 116026, China

    Zhiyang Li

  6. BeiHang University, XueYuan Road No.37, HaiDian District, Beijing, China

    Hua Guo

  7. University of Bradford, BD7 1DP, Bradford, West Yorkshire, United Kingdom

    Geyong Min

  8. Dalian Maritime University, NO.1 Linhai Road Dailian, China, 116026

    Tingting Yang

  9. Computer Network Information Center, Chinese Academy of Sciences, 100190, Beijing, China

    Yulei Wu

  10. Shandong University, 27 Shanda Nanlu, 250100, Jinan City, Shandong Province, China

    Lei Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Xue, L., Li, Z., Luan, W. (2014). Data Mining Research Based on College Forum. In: Sun, Xh., et al. Algorithms and Architectures for Parallel Processing. ICA3PP 2014. Lecture Notes in Computer Science, vol 8631. Springer, Cham. https://doi.org/10.1007/978-3-319-11194-0_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11194-0_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11193-3

  • Online ISBN: 978-3-319-11194-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation