Data Mining Interview Questions and Answers PDF: Interview Guide to Techniques and Applications

Author - Notesly Team

Description

Download the ultimate Data Mining Interview Questions and Answers PDF, covering key techniques like clustering, classification, association rules, and real-world applications. Perfect for data analysts, engineers, and freshers targeting MNC interviews like TCS, Wipro, and HCL. ore Concepts: Data mining definition, process, and role in decision-making. Techniques: Clustering: K-means, hierarchical, and DBSCAN. Classification: Decision trees, SVM, and neural networks. Association Rules: Apriori and FP-Growth algorithms. Preprocessing: Data cleaning, transformation, and normalization. Tools and Frameworks: WEKA, RapidMiner, and Python libraries like Scikit-learn. Real-World Applications: Fraud detection, market basket analysis, and predictive analytics. Challenges: Scalability, overfitting, and data quality issues.