Applications of Data Mining in Library & Information Centres: An Overview

Sengupta, Shantashree Applications of Data Mining in Library & Information Centres: An Overview. International Journal of Current Research, 2017, vol. 9, n. 01, pp. 45246-45249. [Journal article (Paginated)]

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English abstract

The 21st Century is witnessing a massive flow of information in library. The increasing amount of information can be related to the extensive application of Information & Communication Technology. Today, one of the biggest challenges that libraries face is the enormous amount of data generation and to use this data to improve the quality of managerial decisions. Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets. To do this extraction, data mining combines artificial intelligence, statistical analysis and database management systems to attempt to pull knowledge form stored data. The present paper addresses the applications of data mining in library in an effective and efficient manner.

Item type: Journal article (Paginated)
Keywords: Data Mining, Knowledge Discovery in Databases (KDD), Data Warehouse, Data Mining Applications in Library, Data Mining Techniques.
Subjects: L. Information technology and library technology
Depositing user: Dr. Shantashree Sengupta
Date deposited: 19 Mar 2019 04:23
Last modified: 19 Mar 2019 04:23
URI: http://hdl.handle.net/10760/34210

References

References:

1. Advantages and Disadvantages of Data Mining. Retrieved from http://www.zentut.com/data-mining/advantages-and-disadvantages-of-data-mining/

2. Clifton, Christopher (2010). Encyclopaedia Britannica: Definition of Data Mining. Retrieved from https://www.britannica.com/technology/data-mining)

3. Data Mining. Retrieved from https://en.wikipedia.org/wiki/Data_mining

4. Definition of Data Mining. Retrieved from http://www.abc-clio.com/ODLIS/odlis_d.aspx

5. Dwivedi, R.K. & Bajpai, R.P.(2004). Use of Data Mining in the field of Library and Information Science : An Overview. 2nd International CALIBER-2004 [pp.512-519]. New Delhi. Retrieved from http://ir.inflibnet.ac.in/bitstream/1944/375/1/04cali_67.pdf )

6. Fayyad, U., Piatetsky-Shapiro, G. and Smyth, P. (1996). From Data Mining to Knowledge Discovery in Databases. Retrieved from http://www.kdnuggets.com/gpspubs/aimag-kdd-overview-1996-Fayyad.pdf

7. Ramageri, B.M. Data Mining Techniques and Applications. Indian Journal of Computer Science and Engineering, 1(4), 301-305. Retrieved from http://www.ijcse.com/docs/IJCSE10-01-04-51.pdf)

8. Rangnathan, S.R.(1993). Five laws of library science, Sarda Rangnathan Endowment for Library Science, Bangalore.

9. Shane, L., Bowen, S. & Jun, H.C. Data Mining. Retrieved from http://bus237datamining.blogspot.in/2012/11/advantages-disadvantages.html

10. Uppal, V. & Chindwani, G. (2013). An Empirical Study of Application of Data Mining Techniques in Library System. International Journal of Computer Applications, 74(11), 42-46. Retrieved from http://research.ijcaonline.org/volume74/number11/pxc3890008.pdf)

11. What is Data Mining? Retrieved from http://www.zentut.com/data-mining/what-is-data-mining/


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