MCA401: Data Mining and Business Intelligence Syllabus for MCA 4th Sem 2017 Pattern Mumbai University

Data Mining and Business Intelligence detailed Syllabus Scheme for Master of Computer Applications (MCA), 2017 regulation has been taken from the University of Mumbai official website and presented for the MCA students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.

For all other Mumbai University MCA 4th Sem Syllabus 2017 Pattern, do visit MCA 4th Sem 2017 Pattern Scheme. The detailed Syllabus Scheme for data mining and business intelligence is as follows.

MCA401: Data Mining and Business Intelligence Syllabus for MCA 4th Sem 2017 Pattern Mumbai University

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Course Educational Objectives (CEO):

At the end of the course, the students will be able to

1. Acquire the knowledge of various concepts and tools behind data warehousing and mining data for business intelligence
2. Study data mining algorithms, methods and tools
3. Identify business applications of data mining

Course Outcomes:

At the end of the course, the students will be able to:

1. Use conceptualization of BI techniques
2. Apply data warehouse concepts for data analysis and report generation
3. Develop industry level data mining skills using software tools
4. Make use of relevant theories, concepts and techniques to solve real-world BI problems

1. Business Intelligence-

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

2. Prediction methods and models for BI

Data preparation, Prediction methods-Mathematical method, Distance methods, Logic method, heuristic method-local optimization technique, stochastic hill climber, evaluation of models 06

3. BI using Data Warehousing

Introduction to DW, DW architecture, ETL Process, Top-down and bottom-up approaches, characteristics and benefits of data mart, Difference between OLAP and OLTP. Dimensional analysis- Define cubes. Drill- down and roll- up – slice and dice or rotation, OLAP models- ROLAP and MOLAP. Define Schemas- Star, snowflake and fact constellations. 08

4. Data Mining and Preprocessing

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

5. Associations and Correlation

Association rule mining:-support and confidence and frequent item sets, market basket analysis, Apriori algorithm, Incremental ARM, Associative classification- Rule Mining. 06

6. Classification and Prediction

Introduction, Classification methods:-Decision Tree- ID3, CART, Bayesian classification- Bayestheorem( Naive Bayesian classification),Linear and nonlinear regression. 08

7. Clustering

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

8. Web mining and Text mining

Text data analysis and Information retrieval, text retrieval methods, dimensionality reduction for text. Web Mining: – web content, web structure, web usage. 04

Reference Books:

• Business Intelligence data mining and optimization for decision making- by Carlo Vercellis ,wiley publication.
• Adaptive business Intelligence by ZbigniewMichlewicz, martin Schmidt, matthewmichal ewicz, constantinChiriac
• Data Mining concepts and techniques second edition by Jiawei Han and MichelineKamber.
• Data Mining:Introductory and Advanced topics, Pearson Education, by M.Dunham
• Data warehousing Fundamentals by PaulrajPonnian, John Willey
• Data mining for Business intelligence: concepts, techniques and applications in Microsoft Excel by G. Shumeli, N R Patel, P.C Bruce, Wiley

Assessment:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

For detail syllabus of all other subjects of Master of Computer Applications (MCA), 2017 regulation do visit MCA 4th Sem Subjects syllabus for 2017 regulation.