Data Warehousing & Mining

Syllabus: CE603T(i)_Data Warehousing and Mining (Electvie-II)

Course Plan :-

Teaching Plan :-

Assignment Plan:-

Tutorial Plan :-

* DWM Reference Book:

Data Mining Concepts and Techniques, 2nd Ed-Data-mining-concepts-and-techniques-2nd
Data Mining Concepts and Techniques, 3rd Ed- Data-Mining.-Concepts-and-Techniques-3rd

* DWM PPT: (Data Mining Concepts and Techniques)

By: Jiawei Han, Mich line Kamber and Jian Pei

Chapter I: Introduction : 01Intro
Chapter 2: Getting to Know Your Data: 02Data
Chapter 3: Data Preprocessing : 03Preprocessing
Chapter 4: Data Warehousing and On-line Analytical Processing: 04OLAP
Chapter 5: Data Cube Technology : 05CubeTech
Chapter 6: Mining Frequent Patterns: Basic Concepts and Methods : 06FPBasic
Chapter 7 : Advanced Frequent Pattern Mining : 07FPAdvanced
Chapter 8. Classification: Basic Concepts : 08ClassBasic
Chapter 9. Classification: Advanced Methods: 09ClassAdvanced
Chapter 10. Cluster Analysis: Basic Concepts and Methods-I: 10ClusBasic
Chapter 11. Cluster Analysis: Basic Concepts and Methods-II : 11ClusAdvanced
Chapter 12. Outlier Analysis : 12Outlier
Chapter 13. Data Mining and Research Frontiers : 13Trend

* Suggested Mooc’s online courses:

NPTEL: Data Mining By Prof. Pabitra Mitra, IIT Kharagpur

https://onlinecourses.nptel.ac.in/noc24_cs22/preview

edX: Data Mining and Knowledge Discovery by Hong Kong University of Science and Technology

https://www.edx.org/learn/data-mining/the-hong-kong-university-of-science-and-technology-data-mining-and-knowledge-discovery?index=product&queryID=195c4d1e516f5ebc9ce2fc643c296dbb&position=4&linked_from=autocomplete&c=autocomplete

COURSERA : Data Mining Specialization

https://www.coursera.org/specializations/data-mining#courses

* Mooc’s Course Completion Certificate upload link-https://forms.gle/R1ukbS5X3nVZmUE3A

* Question Bank: Coming Soon!!

* Sample Question Papers: Coming Soon!!

* DWM Notes: ( Draft Copy)

Data Warehousing and Mining Lecture Notes -S. Wanjari111 Download

E-Books for Further Reference:

introduction-to-data-mining-and-its-applications Download