Full Text (PDF)
Editorial

Use of Data Minining in a Library

Rakesh Kumar Mishra , Rakesh Kumar Mishra

Author Information

Licence:



Indian Journal of Library and Information Science 2(2):p 91-97, . | DOI:
How Cite This Article:

Received : N/A         Accepted : N/A          Published : N/A

Abstract

Abstract

Data mining is a form of artificial intelligence(AI) that uses automated process to finding interesting information in large repositories of data. The term data mining also refers to the step in the knowledge discovery process in which special algorithms are employed in hopes of identifying interesting
patterns in the data. These interesting patterns are then analyzed yielding knowledge. Any
information system design for the libraries with the help of data mining is most useful for librarian’s to make appropriate decision . The desired outcome of data mining activities is to discover knowledge that is not explicit in the data, and to put that knowledge to use. Libraries are already benefiting from data mining techniques as they explore ways to automatically classify information and explore new
approaches for subject clustering. As the field grows, new applications for libraries are likely
to evolve and it will be important for library administrators to have a basic understanding of the technology. This paper is mainly written for the use of data mining to management decision in libraries. It explains the future development should focus on developing tools and techniques that yield useful knowledge without invading individual privacy.  


References

No records found.


Funding


Author Information

Authors and Affiliatione

  • Rakesh Kumar Mishra
    ,
  • Rakesh Kumar Mishra
    ,

Conflicts of Interest

Supplementary Information

Below is the link to the supplementary material.


Rights and Permissions



About this article


Cite this article


Licence:



Download citation

Received Accepted Published
N/A N/A N/A
DOI:
Keywords

Article Level Metrics

Last Updated

Sunday 08 June 2025, 03:17:13 (IST)


7

Accesses

00
0
00

Citations


22
11
23

View full article metrics including social shares, article views and publishing history


Article Keywords


Keyword Highlighting

Highlight selected keywords in the article text.


Timeline


Received N/A
Accepted N/A
Published N/A

licence



Access this article




Share