Skip to main content

Data Mining Research Based on College Forum

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

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

  • 2584 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

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • 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.

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

Authors

Editor information

Editors and Affiliations

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