Answer / Rochak Mehrotra

The foundations of data mining include several key areas:n1. Database Systems: The underlying database management systems that store and manage the data.n2. Statistics: Statistical techniques used for data analysis, such as regression, clustering, and hypothesis testing.n3. Machine Learning: Algorithms used to learn patterns from data without being explicitly programmed.n4. Pattern Discovery: Techniques for identifying interesting patterns or relationships in the data.n5. Data Preprocessing: Methods for cleaning, transforming, and preparing the data for analysis.

What does subject-oriented data warehouse signify?

1 Answers  

---

Define chameleon method?

1 Answers  

---

Explain the concepts and capabilities of data mining?

1 Answers  

---

What is dimensional modelling? Why is it important?

1 Answers  

---

Do you know what are olap and oltp?

1 Answers  

---

What Is Model In Data Mining World?

1 Answers  

---

Explain about data mining?

1 Answers  

---

Differences between star and snowflake schemas?

1 Answers  

---

What is attribute selection measure?

1 Answers  

---

What are the advantages data mining over traditional approaches?

1 Answers  

---

Explain what are the different problems that 'data mining” can solve?

1 Answers  

---

Give an introduction to data mining query language?

1 Answers  

---