Explore foundational data mining techniques, spanning data preprocessing, classification, clustering, association analysis, and anomaly detection. Fusing theory with practical examples, it empowers students to transform voluminous datasets into meaningful insights, preparing them for challenges in data-driven industries and real-world applications.
Explore foundational data mining techniques, spanning data preprocessing, classification, clustering, association analysis, and anomaly detection. Fusing theory with practical examples, it empowers students to transform voluminous datasets into meaningful insights, preparing them for challenges in data-driven industries and real-world applications.
Bechoo Lal, PhD. became a Member (M) of IAENG: International Association of Engineers, USA with membership (108820) in 2010, a Senior Member (SM) in 2019. He has a doctorate PhD in Computer Science, PhD- Information System from University of Mumbai, Master from Banaras Hindu University (BHU), PGP- Data Science from Purdue University, USA. Currently working as a Associate Professor in Department of Computer Science & Engineering, KLEF- KL University Vijayawada Campus Andhra Pradesh, India. His research areas are data science, big data analytics and Machine Learning.
Inhaltsangabe
Introduction To Data Mining 2 Data 3 Exploring Data 4 Classification: Basic Concepts, Decision Trees, And Model Evaluation 5 Alternative Techniques 6 Association Analysis: Basic Concepts And Algorithms 7 Association Analysis: Advanced Concepts 8 Cluster Analysis: Basic Concepts And Algorithms 9 Cluster Analysis: Additional Issues And Algorithms 10 Anomaly Detection
Introduction To Data Mining 2 Data 3 Exploring Data 4 Classification: Basic Concepts, Decision Trees, And Model Evaluation 5 Alternative Techniques 6 Association Analysis: Basic Concepts And Algorithms 7 Association Analysis: Advanced Concepts 8 Cluster Analysis: Basic Concepts And Algorithms 9 Cluster Analysis: Additional Issues And Algorithms 10 Anomaly Detection
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