Mid terms IMPs for DWM GTU Computers Semester 6
- Ishita Raikar
- Mar 31
- 1 min read
DMW (Data Mining and Warehousing) covers techniques for extracting useful patterns from large datasets and organizing data efficiently in warehouses. It enables informed decision-making through analytics and optimization.
Out of 30+ question banks, here are the top 10 questions from all the modules👇. (For additional resources, be sure to check out the website.)
Discuss the major issues/challenges in data mining.
Briefly explain linear and non-linear regression
Draw and explain the topology of a multilayer feed-forward Neural Network with diagrams.
Explain Web structure and Web usage mining
Define noise data. Enlist the reasons for the presence of noise in data collection. Explain the methods to deal with noise.
Define data mining and list its features.
Describe Concept Hierarchy? List and briefly explain types of Concept Hierarchy
Differentiate classification and prediction
Discuss Hash-based technique to improve the efficiency of Apriori algorithm
Define “clustering”? Mention any two applications of clustering.
These important questions are your guide—study them well, practice consistently, and approach your exams with confidence. Success follows preparation!!
For answers, check out the new BH website!! Plus, here are all the other resources BH has to offer:
Bh.Papers-Highly Analyzed Past Year Question Papers
Bh.How to Pass- IMP plans to clean a subject
Bh.Questionbanks-IMP* Questions per module
Bh.Solutions (soon)-Past Paper’s Solutions
Bh.Notes-Q/A format module wise notes
Bh.Library-References and Textbooks
Bh.VIVAs-Q/A format VIVA/Oral Kit
Bh.Sample Papers-IMPs for mid terms & unit tests
Keep learning, keep growing with BrainHeaters!!
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