2. Topics to cover..
Introduction
Types of Data
Data Mining Functionalities
Interestingness of Patterns
Classification of Data Mining Systems
Data Mining Task Primitives
Integration of a Data Mining System with a Data
Warehouse
Issues
Data Preprocessing.
7. DATABASE
• Database: Shared collection of logically
related data (and a description of this
data), designed to meet the information
needs of an organization.
• Database management System: A
software system that enables users to
define, create, and maintain the
8. Who and How to do it ?
• Database Management System (DBMS) does this job.
• Using Software tools: Access, FileMaker, Lotus Notes,
Oracle or SQL Server, …….
• It includes tools to add, modify or delete data from the
database, ask questions (or queries) about the data
stored in the database and produce reports summarizing
selected contents.
9. Why do we need a database?
• Keep records of our:
– Clients
– Staff
– Volunteers
• To keep a record of activities.
• Keep sales records
• Develop reports
• Perform Querying
10. Data vs. information
• What is data?
–Data is
unprocessed
information.
• What is information?
–Information is data that
have been organized
and communicated in a
logical and meaningful
manner.
11. Purpose of Database system/
Stages of Database System
– Data is converted into information, and information is converted
into knowledge.
– Knowledge; information evaluated and organized so that it can be
used purposefully.
Data
(Unprocessed
information)
Information
(processed Data)
Knowledge
(Evaluated Information
using measures)
Action
(Data Analysis &
Future Prediction)
Is to transform
12. 12
Data Mining works with
Warehouse Data
• Data Warehousing provides the
Enterprise with a memory.
• Data Mining provides the
Enterprise with intelligence
14. Interesting, right?
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