Business Intelligence Lab detailed syllabus scheme for Information Technology (IT), 2018 regulation has been taken from the University of Mumbai official website and presented for the Bachelor of Engineering 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 Information Technology 6th Sem Syllabus 2018 Pattern, do visit IT 6th Sem 2018 Pattern Scheme. The detailed syllabus scheme for business intelligence lab is as follows.
Business Intelligence Lab Syllabus for Information Technology TE 6th Sem 2018 Pattern Mumbai University
Lab Objectives:
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Lab Outcomes:
Students should be able to:
- Identify sources of Data for mining and perform data exploration
- Organize and prepare the data needed for data mining algorithms in terms of attributes and class inputs, training, validating, and testing files.
- Implement the appropriate data mining methods like classification, clustering or association mining on large data sets using open source tools like WEKA
- Implement various data mining algorithms from scratch using languages like Python/ Java etc.
- Evaluate and compare performance of some available BI packages
- Apply BI to solve practical problems : Analyze the problem domain, use the data collected in enterprise apply the appropriate data mining technique, interpret and visualize the results and provide decision support.
Prerequisites:
Object oriented Concept, Java programming language.
Hardware/Software Requirement
PC i3 or above. Open source data mining and BI tools like WEKA, Rapid Miner, Pentaho.
Module I & Module II
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Module III
Using open source tools Implement
- Classifiers
- Clustering Algorithms
- Association Mining Algorithms 06 LO 3
Module IV
- Implementation of any one classifier using languages like JAVA/ python/R
- Implementation of any one clustering algorithm using languages like JAVA/ python
- Implementation of any one association mining algorithm using languages like JAVA/ python 06 LO 4
Module V
Detailed case study of any one BI tool (open source tools like Pentaho can be used) (paper Assignment. 04 LO 5
Module VI
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Text Books:
- Han, Kamber, “Data Mining Concepts and Techniques”, Morgan Kaufmann 3nd Edition.
- G. Shmueli, N.R. Patel, P.C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 1st Edition, Wiley India.
Reference Books:
- P. N. Tan, M. Steinbach, Vipin Kumar, Introduction to Data Mining, Pearson Education.
- WEKA, RapidMiner Pentaho resources from the Web.
Term Work:
Term Work shall consist of at least 10 to 12 practicals based on the below list. Also Term work Journal must include at least 2 assignments. Term Work Marks: 25 Marks (Total marks) = 15 Marks (Experiment) + 5 Marks (Assignments) + 5 Marks (Attendance) Oral Exam: An Oral exam will be held based on the above syllabus.
For detail syllabus of all other subjects of Information Technology (IT) 6th Sem 2018 regulation, visit IT 6th Sem Subjects syllabus for 2018 regulation.