1. Department of CT III-B.Sc-CT VI Semester: 2019-20
16ED – Data Mining
Course: Data Mining Sub Code: 6ED
Google Classroom: q7b4gv Programme: B.Sc-CT
Unit: I Hour : 10
Faculty: Ms. A. SATHIYA PRIYA
Data Mining from Data Base Prespective
Unit I Data Mining Issues
2. Department of CT III-B.Sc-CT VI Semester: 2019-20
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Department of Computer Technology III BSC CT SEM V Year:
2019- 20
UNIT I Basic Data Mining Tasks6ED – Data Mining
SNAP TALK
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3. Department of CT III-B.Sc-CT VI Semester: 2019-20
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Department of Computer Technology III BSC CT SEM V Year:
2019- 20
UNIT I Basic Data Mining Tasks6ED – Data Mining
ATTENDANCE
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4. Department of CT III-B.Sc-CT VI Semester: 2019-20
Unit-I
Data Mining Issues - Data Mining Versus Knowledge
Discovery in Databases - Data Mining Issues - Data
Mining Matrices - Social Implications of Data Mining -
Data Mining from Data Base Perspective.
4Unit I Data Mining from Data Base Perspective.6ED – Data Mining
5. Department of CT III-B.Sc-CT VI Semester: 2019-20
Lecture- Agenda
Database Perspective on Data Mining
5Unit I Data Mining from Data Base Perspective.6ED – Data Mining
6. Department of CT III-B.Sc-CT VI Semester: 2019-20
Cont.,
Data Mining from a database perspective
Scalability
Real World Data
Updates
Ease of Use
6Unit I Data Mining from Data Base Perspective.6ED – Data Mining
7. Department of CT III-B.Sc-CT VI Semester: 2019-20
Scalability
To effectively extract information from a huge
amount of data in databases.
The knowledge discovery algorithms must be efficient
and scalable to large databases.
The running time of a data mining algorithm must be
predictable and acceptable in large databases.
7Unit I Data Mining from Data Base Perspective.6ED – Data Mining
8. Department of CT III-B.Sc-CT VI Semester: 2019-20
Cont..,
Algorithms with exponential or even medium order
polynomial complexity will not be of practical use.
8Unit I Data Mining from Data Base Perspective.6ED – Data Mining
9. Department of CT III-B.Sc-CT VI Semester: 2019-20
Real world data
Noisy and missing attributes values.
Algorithm should be able to work even in the
presence of these problems.
9Unit I Data Mining from Data Base Perspective.6ED – Data Mining
10. Department of CT III-B.Sc-CT VI Semester: 2019-20
Updates
Data mining algorithm work with static data sets.
It is not a realistic assumption.
10Unit I Data Mining from Data Base Perspective.6ED – Data Mining
11. Department of CT III-B.Sc-CT VI Semester: 2019-20
Ease of use
Data mining algorithm many work well, they may not
be well if difficult to use or understand.
11Unit I Data Mining from Data Base Perspective.6ED – Data Mining
12. Department of CT III-B.Sc-CT VI Semester: 2019-20
Key words
Scalability
Real World Data
Updates
Ease of Use
126ED – Data Mining Unit I Data Mining from Data Base Perspective.
13. Department of CT III-B.Sc-CT VI Semester: 2019-20
Multiple Choice Questions
1. Data mining algorithm work with _________data sets
A. Static B. Constant
C. Dynamic
2. _____________ metrics play a critical role in data mining.
A. Database B. Transparency
C. Evaluation D. Checking
136ED – Data Mining Unit I Data Mining from Data Base Perspective.
3. ________________ is a measure of how well the model correlates an outcome with
the attributes in the data.
A. Profiling B. Accuracy
C. Reliability D. Privacy
14. Department of CT III-B.Sc-CT VI Semester: 2019-20
Pointer to Ponder
What all are the development and issues in data
mining?
What are all the metrics in data mining?
Explain any 4 issues with example.
146ED – Data Mining Unit I Data Mining from Data Base Perspective.
15. Department of CT III-B.Sc-CT VI Semester: 2019-20
Summary of the Lecture
Types of data
Qualitative
Quantitative
Basic Statistical Descriptions of Data
Graphic Displays of Basic Statistical Descriptions
156ED – Data Mining Unit I Data Mining from Data Base Perspective.
16. Department of CT III-B.Sc-CT VI Semester: 2019-20
THANK U
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Department of Computer Technology III BSC CT SEM V year: 2019-
20
6ED – Data Mining UNIT I Basic Data Mining Tasks
