Paper presented at SIS 2012 Conference held at NIT Silchar organised by Dr. K C Satpathy

1. DATA MINING:
A TOOL FOR KNOWLEDGE
MANAGEMENT
Prepared by:
Bhagawati Narzari
Dhiru Barman
Ridip Jyoti Kalita

2. What We Will Cover Today:
 Introducing Data Mining
 Scope of Data Mining
 Classes of Data Mining
 Elements of Data Mining
 Data Mining and Knowledge Management
 Data Mining in Libraries
 Bibliomining
 Conclusion
SIS-2012 2

3. Introducing Data Mining
 Data mining is one process of extracting patterns from
data. Data mining involves sorting through large
amounts of data and picking out relevant information.
Data mining can be used in any organization including
library to apply to the two separate processes of
knowledge discovery and prediction. Data mining is one
of the important parts of Bibliomining, where large
amount of data are associated with the library systems in
order to aid decision-making or justify services. Data
mining and its elements, functions, process and some
other involving factors have been discussed in this
paper.
SIS-2012 3

4. Scope of Data Mining
 Automated prediction of trends and behaviors:
Data mining automates the process of finding predictive information
in large databases. Questions that traditionally required extensive
hands-on analysis can now be answered directly from the data —
quickly.
 Automated discovery of previously unknown
patterns:
Data mining tools sweep through databases and identify previously
hidden patterns in one step. An example of pattern discovery is the
analysis of retail sales data to identify seemingly unrelated products
that are often purchased together.
SIS-2012 4

5. Traditional Data Mining Process
SIS-2012 5

6. Classes of Data Mining
 Predicting
 Classification
 Detection of relations
 Explicit modeling
 Clustering
 Market Basket Analysis
 Deviation Detection
SIS-2012 6

7. Elements of Data Mining
 Extract, transform, and load transaction data onto
the data warehouse system
 Store and manage the data in a multidimensional
database system
 Provide data access to business analysts and
information technology professionals.
 Analyze the data by application software.
 Present the data in a useful format, such as a graph
or table.
SIS-2012 7

8. Possible Questions on Data Mining in LISc
Data Possible Question Enabling Section Service
Ming in Technolo Belonging Belonging
Library gies
SL. NO.1 “How many books Computer, Acquisition Lending
acquired last year Library Section service,
regarding science software Document
stream” delivery
service
SL. NO.2 “How many Computer, Reference Reference
encyclopedias are there Library Section and
at present in the library” software Information
Service
SL. NO.3 “How many subscribed Computer, Periodical Section Periodical
science journals are Library Service
there at present in the software
library”
SL. NO.4 “Which are the Computer, Bound Periodical Periodical
newspaper that has Library Section/Back Service
been kept in bound software Volume Section

9. Bibliomining
A new term to describe the data mining process in
libraries is Bibliomining (Nicholson and Stanton, In
press). Bibliomining is defined as “the combination of
data mining, bibliometrics, statistics, and reporting tools
used to extract patterns of behavior-based artifacts from
library systems” (Nicholson, 2002). Instead of behavior-
based artifacts, however, this project is using
bibliomining to discover patterns in artifacts contained in
and associated with Web pages. The techniques to
discover novel and actionable patterns still apply.
SIS-2012 9

10. Conclusion
 The need and application of data mining has
become essential to manage, organize, and
disseminate information to the right users at right
time. Though it is primarily intended for the business
class, still then it has got practical implications in
Libraries and Information Centers due to
overwhelming growth of literature especially in
digital formats. Now-a-days, more and more digital
data are being collected, processed, managed and
archived in Libraries and Information Centers to suit
to the varied need of the user communities every
day.

11. THANK YOU
SIS-2012 11