The document details a talk by Dr. Vinod Kumar Kanvaria at a capacity building program on data mining for educational research, emphasizing the significance of data mining techniques for deriving insights from large datasets. It covers various aspects including data processing, the role of data mining in solving real-world problems, and the importance of predictive exploratory approaches in educational contexts. Additionally, the talk highlights the need for adapting to new educational equations and reflects on the future of education influenced by data analysis capabilities.

1. An Interaction
in the Short Term
Capacity Building Programme on
Data Mining for Research
at
STRIDE, IGNOU, Delhi
Dr. Vinod Kumar Kanvaria, DU, Delhi September 27th, 2022
1

2. VINOD KUMAR KANVARIA
Department of Education
University of Delhi
vinodpr111@gmail.com
27 Sept, 2022 VKK@STRIDE, IGNOU 2

3. Blended Mode
Today’s Talk
Significance
Data
Mining
27 Sept, 2022 VKK@STRIDE, IGNOU 3

4. Data Mining
▶ Misnomer
▶ Statistics + AI + ML
▶ Software, Algorithms and
Insights
27 Sept, 2022 VKK@STRIDE, IGNOU 4

5. Trend
Data Mining ?
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6. Pattern
Data Mining ?
27 Sept, 2022 VKK@STRIDE, IGNOU 6

7. Association
Data Mining ?
27 Sept, 2022 VKK@STRIDE, IGNOU 7

8. Association
Data Mining
Pattern
Trend
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9. Data Mining
▶ Huge Structured Data
▶ Huge Unstructured Data
▶ Making Sense for Relevant
Insights
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10. Socially Useful
Data
Significant
Valid
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11. Solving Real World
Problems
Types &
Target
Predictive
(Minimizing Loss)
Exploratory
(Maximizing Profit)
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12. Knowledge Discovery in Databases
(KDD) & Data Mining (DM)
KDD: Raw Data to Knowledge
KDD:
DM: Extracting, Cleansing,
Structuring, Exploration,
Presentation
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13. Using Data Mining
▶Segmentation or Similar Behaviour
▶Prediction of Non-acceptance
▶Suspicious Behaviour Identification
▶Recommendation upon Past Behaviour
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14. Research
Usage in
Education
PD & Admin
LCMS
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15. Association
Underlying Idea
Trend
Pattern
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16. Some Techniques of DM
▶Data cleaning and Preparation
▶Tracking Patterns
▶Classification
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17. Visualization
Some DM
Techniques
Statistical
Techniques
Decision
Trees
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18. ▶ Association
▶ Outlier Detection
Some Techniques of DM
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▶ Clustering

19. Long Term Memory
Processing
Some DM
Techniques
Data
Warehousing
Neural
Networks
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20. ▶ Regression
▶ Prediction
▶ Sequential Patterns
Some Techniques of DM
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21. Anomaly
Detection
Some DM
Techniques
Artificial
Intelligence
Machine
Learning
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22. Small to Large
to Big to Huge
Amount of Data
Significance / Need & Importance
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23. Manual Eyeball
Search and
manual Analysis
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Significance / Need & Importance

24. Automated and
Semi-Automated
Analysis
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Significance / Need & Importance

25. Statistics to Data
management to
Artificial Intelligence
to Machine Learning
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Significance / Need & Importance

26. NEP 2020 and
EvEry Month’s
Novel Ventures
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Significance / Need & Importance

27. Close to the Heart of
Learners, Teachers,
Teacher Educators
and Researchers
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Significance / Need & Importance

28. A few Data Mining Algorithms
VKK@STRIDE, IGNOU
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29. Some Software for Data Mining
VKK@STRIDE, IGNOU
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Set
1
• RapidMiner
Studio
• Teradata
• Oracle Data
Miner
• Knime
• PSPP
• R Studio
• SciKit-Learn
Set
2
• Orange
• SAS
Enterprise
Miner
• Qlik
• Togaware’s
Rattle
• SciPy
• Julia
Set
3
• Weka
• Sisense
• InetSoft
• Apache
Mahout
• H2O
• SPSS
• MatLab

30. How to meet New Equations
in the Field of Education?
Time to Reflect
on this Concern
for Learning,
Teaching & PD
i.e., Data Mining
for Mass-level
Education of
Students,
Teachers and
Stakeholders
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31. Visionary Shift
Local
National
International
Equality, Justice,
Unbiasedness &
Value to the
Profession of All of
Us
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32. Time for
Reflection
on the Future of
Education
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33. In the Current Times and
Future
Our SUCCESS will depend upon
the extent to which
we are able
to change ourselves
with the changing times
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34. -To the entire Educational
Fraternity and the
STRIDE-IGNOU Family
for this Great Initiative on
Data Mining
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35. 27 Sept, 2022 VKK@STRIDE, IGNOU 35

36. VKK@STRIDE, IGNOU
27 Sept, 2022 36
References and Resources
✓ A Beginner’s Guide to Data Mining Techniques. https://serokell.io/blog/guide-to-data-mining-techniques
✓ 16 Data Mining Techniques: The Complete List. https://www.talend.com/resources/data-mining-techniques/
✓ Data Mining Techniques. https://www.youtube.com/watch?v=syY4tCAxGfk
✓ Data Mining Techniques. https://www.youtube.com/watch?v=SdpxlO5aaWk
✓ Data Mining with Excel: Top 4 Skills for Any Professional. https://www.youtube.com/watch?v=6_aFa977sfI
✓ Data Mining Introduction, Evolution, Need of Data Mining. https://www.youtube.com/watch?v=G6J2Wzl5ukg
✓ Advanced Excel: Data Mining Techniques Using Excel. https://www.youtube.com/watch?v=2rzI4QHwwOs
✓ 13 Best Data Mining Software for Small to Big Businesses in 2022. https://geekflare.com/best-data-mining-software/
✓ Top 10 Data Mining Algorithms, Explained. https://www.kdnuggets.com/2015/05/top-10-data-mining-algorithms-explained.html
✓ Define Data Mining. https://www.youtube.com/watch?v=vkNSeO54VNA
✓ What is Data Mining? Data Mining in Hindi. Data Mining Tutorial for Beginners. Data Mining.
https://www.youtube.com/watch?v=KijNedsQBCs
✓ Introduction to Data Mining. https://www.youtube.com/watch?v=zgOhXy3FFTM
✓ Top 10 Algorithms in Data Mining. https://www.youtube.com/watch?v=sNeXZLw2l6Q
✓ Data Mining Algorithms – 13 Algorithms Used in Data Mining. https://data-flair.training/blogs/data-mining-algorithms/