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Data Mining-PART I
By
M.Dhilsath Fathima
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.
What is Database?
A database is any organized
collection of data.
Examples Co-workers
Examples Patient Information
Examples Airline reservation system
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
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.
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
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.
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
Data Mining works with
Warehouse Data
• Data Warehousing provides the
Enterprise with a memory.
• Data Mining provides the
Enterprise with intelligence
Data Mining works with
Warehouse Data
Interesting, right?
This is just a sneak preview of the full presentation. We hope
you like it! To see the rest of it, just click here to view it in full
on PowerShow.com. Then, if you’d like, you can also log in to
PowerShow.com to download the entire presentation for free.

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data-mining.8460598.powerpoint.pptx

  • 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.
  • 3. What is Database? A database is any organized collection of data.
  • 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
  • 13. Data Mining works with Warehouse Data
  • 14. Interesting, right? This is just a sneak preview of the full presentation. We hope you like it! To see the rest of it, just click here to view it in full on PowerShow.com. Then, if you’d like, you can also log in to PowerShow.com to download the entire presentation for free.