Data Mining Interview Questions
- What is ODS?
- What is an index?
- Explain indexing?
- What is Smoothing?
- Why A-Priori Helps?
- What is meant by pattern?
- Define descriptive model?
- Explain apriori algorithm?
- What is Data visualization?
- What is spatial data mining?
- What are non-additive facts?
- What is Model based method?
- What Caused this Complexity?
- What is Naive Bayes Algorithm?
- Define Association Rule Mining?
- What is a Decision Tree Algorithm?
- How the A-Priori Algorithm works?
- What are the various detected patterns?
- List out the advanced database systems?
- What are the Two Ways to Use a Model?
- Define Clustered and Non-Clustered Index?
- How Data Mining Fits into a Larger Process?
- Mention some of the data mining techniques?
- Define constraint-Based Association Mining?
- What are the benefits of User-Defined Functions?
- Association Rules and Frequent Item sets Mining?
- How is a data warehouse different from a database?
- Explain Association rule in mathematical notations?
- Explain how data mining is used in health care analysis?
- Explain the design and construction of a data warehouse?
- Explain how to use DMX-the data mining query language?
- What are the fields in which clustering techniques are used?
- What are the different types of data used for cluster analysis?
- What are the advantages data mining over traditional approaches?
- Explain data mining applications for Telecommunication industry?
- What is Commercial Data Mining Software on the Net Beans Platform?
- What is the difference between Supervised and Unsupervised Learning?
- Define Binary variables? And what are the two types of binary variables?
- Why should you put your data warehouse on a different system than your OLTP system?
- Describe challenges to data mining regarding data mining methodology and user interaction issues?