CIS 4523/5523: Knowledge Discovery and Data Mining
Spring 2024

Instructions for Preparing an Independent Research Project Final Report

The final report due time: May 02 by 5:30 pm
Submit PDF file using Canvas [Final Project Report]
The final report format:
10 pages, single column, 12pt plus references (as many references as needed). It should contain title, author name, email address, abstract, and the following sections:
  • introduction
  • related work
  • methodology
  • results
  • discussion
  • acknowledgements
  • references

You are allowed to place supplemental materials online. Examples of appropriate supplemental materials include tables and figures with additional results, supplementary data sets, code, etc.
If the supplemental materials are included, this should be referred in the text of your final report.

The final report weight is 25% of the course, while the weight of the progress presentation is 5%.

Research Projects Progress Presentations

  • Prepare 12 minutes progress presentation of your independent research progress
  • Plan on 1 additional minute to answer questions and to allow discussion
  • Plan on 1 minute transition to the next talk
Grading rubrics
  • Objective and Significance
  • Background
  • Proposed approach
  • Data description
  • Evaluation plan
  • Preliminary results
  • Moving forward plan to submitting the final report by May 02 at 5:30pm
  • Discussion and conclusions
April 18th Presentations
1Hardik SharmaTemporal graph creation and prediction for Indego bike ride dataset
2Manan PatelPredictive Analysis of Stock Prices Using Historical Data
3Yihan ZhangHow to use data in a sand-box environment created by the artificial agent to do the reinforcement training
4Abhudaya ShrivastavaAutonomous navigation for drones
5Faezeh Rajabi KouchiMobile Network Traffic Prediction using Convolutional Long Short-Term Memory with DenseNet Architecture
6Vasisht PabathiExploring trends in mental health research funding through NIMH award data
7Thanh NguyenHand Gesture Recognition Using Deep Learning
8Xinwen ZhangCommunication Efficient Sharpness-Aware Minimization in Federated Learning
9James OtwellUsing Categorical Embedding to Improve Restaurant Review Classifier Predictions
10Jack CampbellPredicting Loan Default
11Waheed ZinniaPredictive Analytics for Early Detection of Disease Outbreaks: COVID-19
April 25th Presentations
1Amaka IkemefunaComparative Study of Machine Learning Techniques for Salary Prediction
2Saiyun DongTransfer Learning Framework for Low-Resource Text-to-Speech
3Jefferson LeApproximating of Viewership in Netflix
4Eigen ColbyNetwork Prerequisite Analysis of Data Science Bachelor’s Programs
5Malvin PriftiIdentifying Systemic Bias in Climate Model Output
6Ethan BaileyTime series-based valuation of clothing items from Depop
7Charlie MorganPredicting NFL Game Outcomes Using Machine Learning
8Alan UthuppanReal-Time Air Quality Monitoring and Prediction Using Machine Learning