Data Mining Project
In this project, you will be expected to do a comprehensive literature search
and survey, select and study a specific topic in one subject area of data mining
and its applications in business intelligence and analytics (BIA), and write a
research paper on the selected topic by yourself. The research paper you are
required to write can be a detailed comprehensive study on some specific topic
or the original research work that will have been done by yourself.
Requirements and Instructions for the Research Paper:
1. The objective of the paper should be very clear about subject, scope, domain,
and the goals to be achieved.
2. The paper should address the important advanced and critical issues in a
specific area of data mining and its applications in business intelligence
and analytics. Your research paper should emphasize not only breadth of
coverage, but also depth of coverage in the specific area.
3. The research paper should give the measurable conclusions and future research
directions (this is your contribution).
4. It might be beneficial to review or browse through about 15 to 20 relevant
technical articles before you make decision on the topic of the research
5. The research paper can be:
a. Literature review papers on data mining techniques and their applications
for business intelligence and analytics.
b. Study and examination of data mining techniques in depth with technical
c. Applied research that applies a data mining method to solve a real world
application in terms of the domain of BIA.
6. The research paper should reflect the quality at certain academic research
7. The paper should be about at least 3000-3500 words double space.
8. The paper should include adequate abstraction or introduction, and reference
9. Please write the paper in your words and statements, and please give the
names of references, citations, and resources of reference materials if you
want to use the statements from other reference articles.
10.From the systematic study point of view, you may want to read a list of
technical papers from relevant magazines, journals, conference proceedings
and theses in the area of the topic you choose.
11. For the format and style of your research paper, please make reference to
CEC Dissertation Guide (http://cec.nova.edu/doctoral/documents/nsu-cec-dissertation-
guides.html), Publication Manual of APA, or the format of ACM and IEEE journal
12.For the title page, please include course number, course name, term/date,
your name, contact information such as email and phone number.
Suggested and Possible Topics for Written Report (But Not Limited)
Supervised Learning Methods:
Multiple Linear Regression
Ordered Logistic and Ordered Probit Regression Models
Multinomial Logistic Regression Model
Poisson and Negative Binomial Regression Models
Naïve Bayes Method
k Nearest Neighbors
ID3 (Iterative Dichotomiser 3)
C4.5 and C5.0
CART (Classification and Regression Trees)
Scalable Decision Tree Techniques
Neural Network-Based Methods
Neural Network Supervised Learning
Bayes Belief Network
Generating Rules from a Decision Tree
Generating Rules from a Neural Net
Generating Rules without Decision Tree or Neural Net
Support Vector Machine
AdaBoost (Adaptive Boosting)
Bagging and Boosting
Fuzzy Set and Rough Set Methods
Unsupervised Learning Methods:
Partition Based Methods
Squared Error Clustering
K-Means Clustering (Centroid-Based Technique)
K-Medoids Method (Partition Around Medoids, Representative Object-Based
Agnes(Agglomerative vs. Divisive Hierarchical Clustering)
BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies)
Chameleon (Hierarchical Clustering using Dynamic Modeling)
CLARANS (Clustering Large Applications Based Upon Randomized Search)
CURE (Clustering Using REpresentatives)
Density Based Methods
DBSCAN (Density Based Spatial Clustering of Applications with Noise,
Density Based Clustering Based on Connected Regions with High Density)
OPTICS (Ordering Points to Identity the Clustering Structure)
DENCLUE (DENsity Based CLUstEring, Clustering Based on Density Distribution
STING (Statistical Information Grid)
CLIQUE (Clustering In QUEst, An Apriori-like Subspace Clustering Method)
Probabilistic Model Based Clustering
Clustering Graph and Network Data (For Example, Social Networks)
Self-Organized Map Technique
Evaluation and Performance Measurement of Clustering Methods
Assessing Clustering Technology
Determining the Number of Clusters
Measuring Clustering Quality
Association Rule Mining
Evolution Based Methods:
Data Mining Applications for Business Intelligence and Analytics
Over fitting and Under fitting issues
Performance Evaluation and Measurement
ROC (Receiver Operating Characteristic)
AUC (Area Under the Curve)
Data Mining Tools
Sample Format of Project Report
1. Title Page
In general, the number of words in the title of report should be limited
around 10 words if possible. The title page must include, course number,
course name, the term date, your name, email, contact information, etc. below
the paper title.
The abstract page should summarize the highlight of your project to tell the
audience what have been done in the research project.
3. Table of Contents
The TOC part should list all the titles of sections and subsections with page
This part introduces the audience with necessary information to guide them
into the subjects of your research project.
5. Background and Literature Review
6. Statement of the Proposed Research or Study
With the discussion in Background and Literature Review, the proposed
research and study can be given in the format of, possibly, Problem Statement
or Objective of Study to indicate what to be studied, investigated,
researched, and/or achieved from this project.
Based on the Problem Statement and the objective to be achieved, you may want
to elaborate the underline methodology to be used in order to fulfill the
research task and achieve the goal of the research/study. If possible, please
provide elaboration of rationales in both depth and width.
It is better to use illustrative examples to explain the methodology employed
in this project.
8. Experiment Design and Result Analysis
Provide the details of how experiments are designed and conducted, and
observation from the experiment. Analysis of experimental results are
important based on your observation, understanding, interpretation, etc. with
some performance analysis methods.
Summarize your research/study by giving some conclusion from the project,
and may provide future research/study directions with discussion of
11.Appendix (if necessary)
For style, please make reference to APA Manual, ACM, IEEE publications, CEC