Browsing CALIBER 2004:New Delhi by Subject "Data Mining"

Or enter first few letters:

Sort by: Order: Results:

Now showing items 1-3 of 3

Data Mining Techniques for Information Retrieval

Mukhopadhyay, Bikash; Mukhopadhyay, Sripati (INFLIBNET Centre, Ahmedabad, February NaN, 2004)

[more]

[less]

Abstract:

Data mining automatically and exhaustively explores very large datasets, consequently uncovering otherwise hidden relationships among data. This technology has been successfully applied in science, health, marketing and finance to aid new discoveries and strengthen markets. In addition, data mining techniques are being applied to discover and organize information from the Web. Unfortunately these advancements in data storage and distribution technology have not been accompanied by respective research in data retrieval technology for a long time. To put it in short: we are now being flooded with data, yet we are starving for knowledge. This need has created an entirely new approach to data processing - the data mining, which concentrates on finding important trends and meta-information in huge amounts of raw data. In this paper the main concepts of data mining and automatic knowledge discovery in databases are presented (clustering, finding association rules, categorisation, statistical analysis).

URI:

http://hdl.handle.net/1944/374

Files in this item: 1

04cali_66.pdf (67.23Kb)

Data Warehousing and OLAP Technology for Knowledge Discovery

Suman, Aparajita (INFLIBNET Centre, Ahmedabad, February NaN, 2004)

[more]

[less]

Abstract:

Since time immemorial, libraries have been generating services using the knowledge stored in various repositories to the users. However, now the techniques of data storage, organization, and retrieval have changed with drastic changes in media and access tools. So, the new generation of libraries has to adopt emerging tools and techniques.In this context, data warehousing and OLAP have emerged as leading technologies that facilitate data storage, organization and then, significant retrieval. This article aims at exploring the features of data warehousing and OLAP and their application in modern libraries for knowledge discovery.

URI:

http://hdl.handle.net/1944/379

Files in this item: 1

04cali_71.pdf (147.4Kb)

Use of Data Mining in the field of Library and Information Science : An Overview

Dwivedi, Roopesh K; Bajpai, R P (INFLIBNET Centre, Ahmedabad, February NaN, 2004)

[more]

[less]

Abstract:

Data Mining refers to the extraction or “Mining” knowledge from large amount of data or Data Warehouse. To do this extraction data mining combines artificial intelligence, statistical analysis and database management systems to attempt to pull knowledge form stored data. This paper gives an overview of this new emerging technology which provides a road map to the next generation of library. And at the end it is explored that how data mining can be effectively and efficiently used in the field of library and information science and its direct and indirect impact on library administration and services.

URI:

http://hdl.handle.net/1944/375

Files in this item: 1

04cali_67.pdf (73.95Kb)

Now showing items 1-3 of 3

Browsing CALIBER 2004:New Delhi by Subject "Data Mining"

INFLIBNET's Institutional Repository

Browsing CALIBER 2004:New Delhi by Subject "Data Mining"

Search DSpace

Browse

All of DSpace

This Collection

My Account