Machine Learning for Business Management

Course Name: 

SM859 Machine Learning for Business Management

Programme: 

MBA

Category: 

Elective Courses

Credits (L-T-P): 

(3-0-0) 3

Content: 

Scope & Objectives Data mining process – Data mining functionalities – Data preprocessing, Supervised Learning: Introduction, Decision Tree Induction, Bayesian Classification: Naïve Bayes. Rule Based Classification, Artificial Neural Network: Classification by Back propagation. Support Vector Machines, Associative Classification, K-NN classifier, Case-Based Learning, Rough set, Fuzzy set approaches, Hidden Markov models. Ensemble model: Bagging, Boosting. Accuracy and Error Measures, Evaluating the Accuracy of a Classifier, Model Selection, Feature selection. Unsupervised Learning-I: Types of Data in Cluster Analysis, Clustering Methods- Partitioning Methods: K-Means, Fuzzy Clustering Methods: FCM, PCM, FPCM, PFCM. Hierarchical Methods: Agglomerative and Divisive, Balanced Iterative Reducing Clustering using Hierarchies, Unsupervised Learning-II: Grid-Based Methods: Statistical Information Grid, Model-Based Clustering Methods: EM algorithm, Self Organizing Map. Clustering High-Dimensional Data: Clustering In Quest, Projective clustering, Outlier Analysis. Soft Computing
Components: Neighborhood based algorithms-Simulated annealing, Tabu search. Population based algorithms Evolutionary computation: Evolutionary programming and strategies, Genetic algorithms, Differential evolution. Swarm Intelligence: Ant colony optimization, Particle swarm optimization

References: 

Jiawei Han and Micheline Kamber. Data Mining Concepts and Techniques. Morgan Kaufmann publication, 2006. Xin-she Yang. Nature-Inspired Metaheuristic Algorithms. Luniver press, 2010.

Department: 

School of Management
 

Contact us

Dr. S. Pavan Kumar,
Head, School of Management,
National Institute of Technology Karnataka,
Post: Srinivasanagar, Surathkal, Mangalore - 575025
Karnataka, India.
•       Hot line: +91-824-2474000 (Extn. 4047)
                 +91-0824-2474000 (Extn. 3079)
•       Mobile:   +91 7760020200
•       Email:          pavankumar@nitk.ac.in
                         saraf_pavan@rediffmail.com

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