Skip to main content
SpringerLink
Log in

Towards an Algebraic Framework for Querying Inductive Databases

  • Conference paper
Database Systems for Advanced Applications (DASFAA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5982))

Included in the following conference series:

Abstract

In this paper, we present a theoretical foundation for querying inductive databases, which can accommodate disparate mining tasks. We present a data mining algebra including some essential operations for manipulating data and patterns and illustrate the use of a fix-point operator in a logic-based mining language. We show that the mining algebra has equivalent expressive power as the logic-based paradigm with a fix-point operator.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Dzeroski, S.: Towards a general framework for data mining. In: Džeroski, S., Struyf, J. (eds.) KDID 2006. LNCS, vol. 4747, pp. 259–300. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Calders, T., Lakshmanan, L., Ng, R., Paredaens, J.: Expressive power of an algebra for data mining. ACM Transactions on Database Systems 31(4), 1169–1214 (2006)

    Article  Google Scholar 

  3. Blockeel, H., Calders, T., Fromont, l., Goethals, B., Prado, A., Robardet, C.: An inductive database prototype based on virtual mining views. In: ACM Proc. of KDD (2008)

    Google Scholar 

  4. Richter, L., Wicker, J., Kessler, K., Kramer, S.: An inductive database and query language in the relational model. In: Proc. of EDBT, pp. 740–744. ACM, New York (2008)

    Google Scholar 

  5. Liu, H.C., Yu, J., Zeleznikow, J., Guan, Y.: A logic-based approach to mining inductive databases. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2007. LNCS, vol. 4487, pp. 270–277. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  6. Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)

    Google Scholar 

  7. Liu, H.C., Yu, J.: Algebraic equivalences of nested relational operators. Information Systems 30(3), 167–204 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Mutimedia Design, Diwan University, Madou, Tainan County, 72153, Taiwan

    Hong-Cheu Liu

  2. School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW 2522, Australia

    Aditya Ghose

  3. School of Information Systems, Victoria University, Melbourne, Vic., Australia

    John Zeleznikow

Authors
  1. Hong-Cheu Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Aditya Ghose
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. John Zeleznikow
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Graduate School of Systems and Information Engineering, University of Tsukuba, 305–8573, Tennodai, Tsukuba, Ibaraki, Japan

    Hiroyuki Kitagawa

  2. Information Technology Center, Nagoya University, 464-8601, Furo-cho, Chikusa-ku, Nagoya, Japan

    Yoshiharu Ishikawa

  3. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

    Qing Li

  4. Department of Information Science, Ochanomizu University, 2-1-1, Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan

    Chiemi Watanabe

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, HC., Ghose, A., Zeleznikow, J. (2010). Towards an Algebraic Framework for Querying Inductive Databases. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 5982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12098-5_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-12098-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12097-8

  • Online ISBN: 978-3-642-12098-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation