Skip to main content

The Journey of Knowledge Discovery

  • Chapter
  • First Online:
Journeys to Data Mining

Abstract

I talk about my journey as a scientist, a data miner, and a consultant; about history of KDD conferences and data mining field; and about interesting cases from my practice.

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

Access this chapter

eBook
USD 16.99
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

Notes

  1. 1.

    As of 2010, US health-care costs were estimated at 15% of GDP [8].

References

  1. Gregory Piatetsky-Shapiro, “The optimal selection of secondary indices is NP-complete”, SIGMOD Record, Jan 1983

    Google Scholar 

  2. Gregory Piatetsky-Shapiro, Charles Connell, “Accurate estimation of the number of tuples satisfying a condition”, in Proceedings of ACM-SIGMOD Annual Conference, Boston, June 1984

    Google Scholar 

  3. Gregory Piatetsky-Shapiro, “A Self-Organizing Database System—A Different Approach to Query Optimization”, Ph.D. Thesis, Courant Institute Report 147, New York University, April 1984

    Google Scholar 

  4. G. Jakobson, C. Lafond, E. Nyberg, G. Piatetsky-Shapiro, “An intelligent database assistant”, IEEE Expert 1(2) (1986)

    Google Scholar 

  5. Robert L. Blum, Gio Wiederhold, “Studying hypotheses on a time-oriented clinical database: an overview of the RX project”, in Proceedings of the 6th Symposium on Computer Applications in Medical Care (IEEE 82, Washington, DC, 1981), pp. 725–735

    Google Scholar 

  6. Gregory Piatetsky-Shapiro, KDD-89, Knowledge Discovery in Databases Workshop, http://www.kdnuggets.com/meetings/kdd89/

  7. Gregory Piatetsky-Shapiro, Knowledge discovery in real databases: a workshop report, AI Magazine 11(5) (1991)

    Google Scholar 

  8. Healthcare Costs Around the World (2011), http://www.visualeconomics.com/healthcare-costs-around-the-world_2010-03-01/. Retrieved 20 Jan 2011

  9. C. Matheus, G. Piatetsky-Shapiro, D. McNeill, Selecting and reporting what is interesting: the KEFIR application to healthcare data, in Advances in Knowledge Discovery and Data Mining, ed. by U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy (AAAI/MIT Press, Cambridge, CA, 1996)

    Google Scholar 

  10. Gregory Piatetsky-Shapiro, Data Mining Course, Connecticut College, 2003, Lecture 16: Summarization and Deviation, http://www.kdnuggets.com/data_mining_course/dm16-summarization-deviation-detection.ppt

  11. KEFIR Overview Report, http://www.kdnuggets.com/data_mining_course/kefir/overview.htm

  12. Brij Masand et al., CHAMP: a prototype for automated cellular churn prediction. Data Min. Knowl. Disc. J. 3(2), 219–225 (1999)

    Article  Google Scholar 

  13. Tom Davenport, Jeanne G. Harris, Competing on Analytics Competing on Analytics: The New Science of Winning (Harvard Business School Press, Boston MA, 2007), p. 240

    Google Scholar 

  14. Knowledge Discovery Nuggets 93:1 (1993), http://www.kdnuggets.com/news/93/n1.txt

  15. Knowledge Discovery Mine Announcement (1994), http://www.kdnuggets.com/news/94/n8.txt

  16. Gregory Piatetsky-Shapiro, Brij Masand, Estimating campaign benefits and modeling lift, in Proceedings of KDD-99 Conference (ACM Press, New York, NY, 1999)

    Google Scholar 

  17. G. Piatetsky-Shapiro, P. Tamayo, SIGKDD Explorations Special Issue on Microarray Data Mining, Guest Editors, Dec 2003

    Google Scholar 

  18. T.R. Golub et al., Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286(5439), 531–537 (1999)

    Article  Google Scholar 

  19. P. Tamayo, Personal Communication, 2002.

    Google Scholar 

  20. CAMDA 2000, in Proceedings of Critical Assessment of Microarrays Conference, Duke University, 2000

    Google Scholar 

  21. G. Piatetsky-Shapiro, T. Khabaza, S. Ramaswamy, Capturing best practices for microarray data analysis, in Proceedings of ACM KDD-2003 Conference (Honorary Mention as the 2nd best application paper)

    Google Scholar 

  22. Weka 3: Data Mining Software in Java, http://www.cs.waikato.ac.nz/ml/weka/

  23. Ian Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (Morgan Kaufman, San Francisco, 1999).

    Google Scholar 

  24. Gregory Piatetsky-Shapiro, Data Mining Course, Presentations, Teaching Modules, and Course Notes for an Undergraduate 1-semester Course on Data Mining (2004), www.kdnuggets.com/data_mining_course/

Download references

Acknowledgments

I am very grateful to my family and especially my wife for her support and encouragement. Part of this was presented to the KDD-99 10-year anniversary panel and published in SIGKDD Explorations, 2000. I thank Mohamed Medhat Gaber for his encouragement to write this chapter and for his patience.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gregory Piatetsky-Shapiro .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Piatetsky-Shapiro, G. (2012). The Journey of Knowledge Discovery. In: Gaber, M. (eds) Journeys to Data Mining. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28047-4_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28047-4_13

  • 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