DWMBI (Data Warehouse Mining & Business Intelligence) Viva Questions:
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Data Warehouse Mining Viva
CH-1 Introduction to Data Mining
- What is data mining?
- What are functionalities of Data Mining?
- Classify Data Mining systems
- Explain Integration of Data Mining system with a Database or Datawarehouse
- Architecture of Typical Data mining System?
- What are major Data Mining Issues?
- Explain KDD process?
CH-2 Data WareHousing
- What is Data warehousing?
- Difference between Database and Datawarehouse?
- Explain Star Schema?
- Explain Snow flake Schema?
- Difference between Star and snow flake schema?
- Explain Fact and Dimensional table?
- Explain Factless Fact table?
- What is OLAP?
- What is OLTP?
- State applications of OLAP.
- Difference between OLAP and OLTP?
- State OLAP operations?
CH-3 Data Preprocessing
- Difference between clustering and classification?
- What is Data cleaning?
- What is Data Integration?
- What is Data Transformation?
- State Data Reduction techniques ?
- Explain Data Reduction techniques in short?
- Which techniques are used for Numerosity Reduction?
- Give ways of handling Noise Data?
- What is noisy data?
CH-4 Mining Frequent Patterns,Associations and Correlations
- What is Market basket analysis?
- Explain Apriori Algorithm?
- Explain FP-Tree Algorithm?
- How FP-Tree is better than Apriori Algorithm?
- Give formula of Support and Confidence?
- K-mean Algorithm
- What are Constraint based association rule mining?
- Explain mining multilevel association Rules?
- Explain mining multidimensional association Rules?
CH-5 Classification and Prediction
- What is Classification?
- What is Prediction?
- State Issues regarding Classification and Prediction?
- State various classification methods?
- What is Regression?
- State types of Regression?
- Explain Linear Regression?
- Explain Non Linear Regression?
- Give formulae of a)Information Gain b)Entropy c)Gini index?
- Explain Decision tree in brief?
- Explain Bayesian classification?
CH-6 Cluster Analysis
- What is clustering ?
- What is Clustering Analysis?
- State types of data in Clustering Analysis?
- State Categories of clustering methods?
- State partitioning methods?
- What is BIRCH?
- What is ROCK?
- Explain DBSCAN?
- Explain K-means?
- Explain K-mediods?
- Explain Agglomerative Clustering?
- Explain Outliers Analysis?
CH-7 Mining Stream and Sequence Data
- What is Stream Data?
- Explain Association mining in stream data?
- Explain Sequence Mining in transactional database?
- Explain different Data Stream methodologies?
- Explain Hoeffding Tree Algorithm?
CH-8 Spatial Data & Text Mining
- Compare Data Mining and Text Mining.
- State Spatial Clustering methods.
- What is Spatial OLAP?
- What is Spatial data mining?
- State different approaches in Text Mining?
- State Spatial Clustering Methods?
- What is Web mining ?
- What is Web Content Mining?
- What is Web Structure Mining?
CH-9 Data Mining for Bussiness Intelligence Applications.
- What is business intelligence ?
- State Business Intelligence issues?
- How Data Mining be used for BI Applications?
- Explain Data Mining for Market Segmentation?
- Explain Data Mining for Retail Industry?