Tuesday, 8 May 2018

Data Ware Housing and Data Mining - Lecture Notes, Study Materials and Important questions answers



Data Ware Housing and Data Mining
- Lecture Notes, Study Materials and Important questions answers




Subject : Data Ware Housing and Data Mining

DATA WAREHOUSING

  1. Data Warehouse Introduction - Answer (click here)
  2. Building a Data warehouse - Answer (click here)
  3. Mapping the data warehouse architecture to Multiprocessor architecture - Answer (click here)
  4. DBMS Schemas for Decision Support - Answer (click here)
  5. Data extraction, clean up and transformation - Answer (click here)
  6. Metadata - Answer (click here)
  7. Important Short Questions and Answers: Data Warehousing - Answer (click here)

BUSINESS ANALYSIS

  1. Reporting and Query Tools and Applications - Answer (click here)
  2. Need For Applications - Data Warehousing - Answer (click here)
  3. Cognous Impromptu - Answer (click here)
  4. OLAP and Need - Answer (click here)
  5. Multidimensional Data Model - Answer (click here)
  6. OLAP Guidelines - Answer (click here)
  7. Categories of OLAP Tools - Answer (click here)
  8. OLAP Tools And The Internet - Answer (click here)
  9. Important Short Questions and Answers: Data Warehousing Business Analysis - Answer (click here)

DATA MINING

  1. Data Mining - Answer (click here)
  2. Data - Answer (click here)
  3. Data Mining - On What Kind of Data? ( Types of Data ) - Answer (click here)
  4. Data Mining Functionalities - What Kinds of Patterns Can Be Mined? - Answer (click here)
  5. Interestingness of Patterns - Answer (click here)
  6. Classification of Data Mining Systems - Answer (click here)
  7. Integration of a Data Mining System with a Database or Data Warehouse System - Answer (click here)
  8. Data mining primitives - Answer (click here)
  9. Major Issues in Data Mining - Answer (click here)
  10. Data Preprocessing - Answer (click here)
  11. Important Short Questions and Answers : Data Mining - Answer (click here)

ASSOCIATION RULE MINING AND CLASSIFICATION

  1. Frequent Itemsets, Closed Itemsets, and Association Rules - Answer (click here)
  2. Mining Methods - Answer (click here)
  3. Mining Various Kinds of Association Rules - Answer (click here)
  4. Association Mining to Correlation Analysis - Answer (click here)
  5. Constraint-Based Association Mining - Answer (click here)
  6. Classification and Prediction - Answer (click here)
  7. Classification by Decision Tree Induction - Answer (click here)
  8. Bayesian Classification - Answer (click here)
  9. Rule Based Classification - Answer (click here)
  10. Classification by Backpropagation - Answer (click here)
  11. SVM - Support Vector Machines - Answer (click here)
  12. Associative Classification - Answer (click here)
  13. Lazy Learners (or Learning from Your Neighbors) - Answer (click here)
  14. Other Classification Methods - Answer (click here)
  15. Prediction - Answer (click here)
  16. Important Short Questions and Answers : Association Rule Mining and Classification - Answer (click here)

CLUSTERING AND TRENDS IN DATA MINING

  1. Type of Data in Clustering Analysis - Answer (click here)
  2. Categorization of Major Clustering Methods - Answer (click here)
  3. Outlier Analysis - Answer (click here)
  4. Data Mining Applications - Answer (click here)
  5. Important Short Questions and Answers : Clustering and Applications and Trends in Data Mining - Answer (click here)

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