Answer / Kumar Pal Singh

Data Mining can have several potential drawbacks:n1. Privacy concerns: Data mining can inadvertently reveal sensitive information about individuals, which may lead to breaches of privacy.n2. Overfitting: If the model is trained on a small dataset, it may overfit the data and not generalize well to new data.n3. Interpretability issues: Complex models used for data mining can be difficult to interpret, making it hard to understand why certain patterns are found.n4. Ethical concerns: Data mining can be used in ways that are unethical or even illegal, such as profiling and discrimination.n5. High computational cost: Processing large amounts of data requires significant computational resources, which can be expensive.

Define binary variables? And what are the two types of binary variables?

1 Answers  

---

Describe how dts is used to extract, transform and consolidate data?

1 Answers  

---

Describe important index characteristics?

1 Answers  

---

What are the cons of data mining?

1 Answers  

---

What snow flake schema?

1 Answers  

---

What are the advantages data mining over traditional approaches?

1 Answers  

---

Tell me what are cubes?

1 Answers  

---

What does subject-oriented data warehouse signify?

1 Answers  

---

Define chameleon method?

1 Answers  

---

What is 'data mining interface'?

1 Answers  

---

Name types of data mining?

1 Answers  

---

Define genetic algorithm?

1 Answers  

---