Unit I

Issues regarding classification and prediction, Bayesian Classification, Classification by back propagation, Classification based on concepts from association rule mining, Other Classification Methods, Classification accuracy.

Unit II

Introduction to Decision trees – Classification by decision tree induction – Various types of pruning methods – Comparison of pruning methods – Issues in decision trees – Decision Tree Inducers – Decision Tree extensions.

Unit III

Introduction, Core text mining operations, Preprocessing techniques, Categorization, Clustering, Information extraction, Probabilistic models for information extraction

Unit IV

Soft Computing: Rationale, motivations, needs, basics: examples of applications in diverse fields, Basic tools of soft computing: Neural Networks, Fuzzy Logic Systems, and Support Vector Machines, Statistical Approaches to Regression and Classification – Risk Minimization, Support Vector Machine Algorithms.

Unit V

Single-Layer Networks: The Perceptron, The Adaptive Linear Neuron (Adaline) and the Least Mean Square Algorithm – Multilayer Perceptrons: The Error Backpropagation Algorithm – The Generalized Delta Rule, Heuristics or Practical Aspects of the Error Backpropagation Algorithm.

Course Outcomes:
CO-1: Understand the various classifications
CO-2: Understand the concepts of decision trees
CO-3: Understand and apply the concepts preprocessing techniques for information extraction problems.
CO-4: Understand the concepts of various soft computing techniques.
CO-5: Understand the concepts of various algorithms in networks.

Text Books:

1. Jiawei Han and Micheline Kamber, “Data Mining: Concepts and Techniques”, Morgan Kaufmann Publishers, 3rd ed, 2010.
2. Jared Dean, “Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners”, Wiley India Private Limited, 2014.

References Books

• LiorRokach and Oded Maimon, “Data Mining and Knowledge Discovery Handbook”,Springer, 2nd edition, 2010.
• Ronen Feldman and James Sanger, “The Text Mining Handbook: Advanced Approaches inAnalyzing Unstructured Data”, Cambridge University Press, 2006.
• Vojislav Kecman, “Learning and Soft Computing”, MIT Press, 2010