Skip to main content

Applications of Data Mining in e-Governance: A Case Study of Bhoomi Project

  • Conference paper
Data Engineering and Management (ICDEM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6411))

Included in the following conference series:

Abstract

E-government is a modern way that government department provides services for the public. The level of e government development is an important standard for a national information, e-government can improve government management efficiency, so it is very important that how to improve the public service by the public’s need to e-government’s development. This paper applies data mining technique in e-government construction by taking BHOOMI a project from government of Karnataka for helps to maintain and update the land records data systematically and securely. This can provide the better support for government decision, government department also provides the better services for public and achieves humanist truly.

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. Hart, J., Kamber, M.: Concept and Technique of Data Mining. Machine Industry Press, Beijing (2001)

    Google Scholar 

  2. Ester, M., Wittmann, R.: Incremental Generalization for Mining in a Data Warehousing Environment. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 135–152. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  3. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: Knowledge Discovery and Data Mining: Towards a Unifying Framework. In: Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining, Portland, OR, pp. 82–88 (1996)

    Google Scholar 

  4. Gueting, R.H.: An Introduction to Spatial Database Systems. The VLDB Journal 3(4), 357–399 (1994)

    Article  Google Scholar 

  5. Han, J., Cai, Y., Cercone, N.: Data-driven Discovery of Quantitative Rules in Relational Databases. IEEE Transactions on Knowledge and Data Engineering 5(1), 29–40 (1993)

    Article  Google Scholar 

  6. “Business Intelligence And E-Governance” Analytics & Modeling Division National Informatics Centre Department Of Information Technology Ministry of Communication & IT New Delhi - 110003

    Google Scholar 

  7. http://www.mapit.gov.in/compendium.pdf

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hanumanthappa, M., Prakash, B.R., Kumar, M. (2012). Applications of Data Mining in e-Governance: A Case Study of Bhoomi Project. In: Kannan, R., Andres, F. (eds) Data Engineering and Management. ICDEM 2010. Lecture Notes in Computer Science, vol 6411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27872-3_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27872-3_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27871-6

  • Online ISBN: 978-3-642-27872-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics