Choose a topic of interest in the field of Business Intelligence

Choose a topic of interest in the field of Business Intelligence

Every students has to choose a topic of interest in the field of Business Intelligence given bellow or can also help from reference papers in the end of the document:

Analysis of a social data visualization web site

CBA: Cloud-Based Bigdata Analytics

Big Data for the Enterprise – fuel for analytic value

Data/Text mining/Web Mining Business Applications in Perspective of  Business Intelligence

Analysis of existing data warehouse tools for Business Intelligence

Geographic Knowledge Engineering for Territorial Intelligence

Comprehensive study of data analytics tools (RapidMiner, Weka, R tool, Knime)

Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner

1. Arabic Opinion Mining Using Parallel Decision Trees
2. Chronic Kidney Disease analysis using data mining classification techniques
3. Predicting student placements using Bayesian classification
4. Event-based text visual analytics
5. After selection of topic for the project, he/she need to approve the topic from his teacher by email to avoid duplication.
6. The topic selection will be based on the first come first serve basis.
7. Group will be comprised of maximum Three (2) students.
8. Each group will have different topic from each other.
9. Plagiarism (Maximum 10% similarity Index is allowed)  will lead to zero (0) marks or even failing the course.

Presentation:

Presentation slides should not be over burden with paragraphs and each slide should contains average five (5) sentences/phrases and each sentence/phrases should have average five (5) words. Moreover, every slide should have clear and illustrated diagrams. The range of should be from 20-25 slides and time duration for presentation will be 20 minutes for each group.

Research paper Article

The article should include details about the title, abstract, introduction, literature review, methods and results & discussion, summary along with references of the sources mentioned in literature of report.

Note: IEEE/ACM template style format has to be followed. The technical report will be tested against plagiarism software Turnitin.com or ithenticate.com (Maximum similarity indexed allowed is 10%)

Tools To Be Used (MUST):

1. Tableau
2. Rapid Miner

 

 

  

References:

[1] http://ieeexplore.ieee.org/document/8093419/

[2] http://ieeexplore.ieee.org/document/7987188/

[3] http://ieeexplore.ieee.org/document/7724930/

[4] http://ieeexplore.ieee.org/document/7460347/

[5] http://ieeexplore.ieee.org/document/6038104/

[6] http://ieeexplore.ieee.org/document/6038104/

[8] http://ieeexplore.ieee.org/document/5751066/

[9] http://ieeexplore.ieee.org/document/5484752/

[10] http://ieeexplore.ieee.org/document/5175173/

[11] http://ieeexplore.ieee.org/document/7512183/

[12] http://ieeexplore.ieee.org/document/8262948/

[13] http://ieeexplore.ieee.org/document/8076790/

[14] http://ieeexplore.ieee.org/document/7733247/

[15] http://ieeexplore.ieee.org/document/7570894/

[16] http://ieeexplore.ieee.org/document/6893924/

[17] http://ieeexplore.ieee.org/document/4734287/

[18] http://ieeexplore.ieee.org/document/8038322/

[19] http://ieeexplore.ieee.org/document/7956788/

[20] http://ieeexplore.ieee.org/document/7546223/

[21] http://ieeexplore.ieee.org/document/7508132/

[22] http://ieeexplore.ieee.org/document/6859735/

[23] http://ieeexplore.ieee.org/document/6859735/

[24] http://ieeexplore.ieee.org/document/8206705/

[25] http://ieeexplore.ieee.org/document/5687270/

[26] http://ieeexplore.ieee.org/document/7155806/