Skip to main content

Discovering Privacy

  • Chapter
  • First Online:
Journeys to Data Mining

Abstract

I like to say that I backed into data mining. I come from the database community, although with a dissertation in database support for hypertext (while at Princeton University) I have never really been a “core database” researcher. With years (Bachelor’s and Master’s) at M.I.T., I had also had more machine learning than most. This leads to my first real “data-mining” work (although it was not called that at the time): applying machine learning techniques to a problem in heterogeneous databases. Schema integration, or more specifically schema element matching, has all of the hallmarks we see in good knowledge discovery problems:

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 EPUB and 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
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. C. Clifton, Change detection in overhead imagery using neural networks. Int. J. Appl. Intell. 18(2), 215–234 (2003). http://www.kluweronline.com/issn/0924-669X

    Article  MATH  Google Scholar 

  2. C. Clifton, R. Cooley, J. Rennie, TopCat: data mining for topic identification in a text corpus. IEEE Trans. Knowl. Data Eng. 16(8), 949–964 (2004). http://csdl.computer.org/comp/trans/tk/2004/08/k0949abs.htm

    Article  Google Scholar 

  3. C. Clifton, D. Marks, Security and privacy implications of data mining, in Workshop on Data Mining and Knowledge Discovery (ACM SIGMOD, Montreal, Canada, Jun 1996), pp. 15–19, http://www.cs.purdue.edu/homes/clifton/cv/pubs/dmkd.pdf

  4. W. Jiang, C. Clifton, AC-framework for privacy-preserving collaboration, in SIAM International Conference on Data Mining, Minneapolis, MN, 26–28 Apr 2007, http://www.siam.org/proceedings/datamining/2007/dm07_005wjiang.pdf

  5. W.S. Li, C. Clifton, SEMINT: a tool for identifying attribute correspondences in heterogeneous databases using neural networks. Data Knowl. Eng. 33(1), 49–84 (2000). http://dx.doi.org/10.1016/S0169-023X(99)00044-0

    Article  MATH  Google Scholar 

  6. M. Murugesan, C. Clifton, Providing privacy through plausibly deniable search, in 2009 SIAM International Conference on Data Mining, Sparks, NV, 30 Apr–2 May 2009, http://www.siam.org/proceedings/datamining/2009/dm09_070_murugesanm.pdf

  7. M.E. Nergiz, C. Clifton, Thoughts on k-anonymization. Data Knowl. Eng. 63(3), 622–645 (2007). http://dx.doi.org/10.1016/j.datak.2007.03.009

    Article  Google Scholar 

  8. Topic detection and tracking project TDT (25 Sep 2000), http://www.nist.gov/speech/tests/tdt/index.htm

  9. J. Vaidya, C. Clifton, M. Zhu, Privacy Preserving Data Mining. Advances in Information Security, vol. 19 (Springer, New York, 2006). http://www.springeronline.com/sgw/cda/frontpage/0,11855,4-40356-72-52496494-0,00.html

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chris Clifton .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Clifton, C. (2012). Discovering Privacy. In: Gaber, M. (eds) Journeys to Data Mining. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28047-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28047-4_5

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28046-7

  • Online ISBN: 978-3-642-28047-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics