Reference no: EM13688923
Data mining and Computational Statistics
Tentative list of possible areas of investigation for poster projects
Poster projects must be intended as an opportunity for student groups to investigate data mining/computational/statistical simulation problems and applications that interests them. The projects should apply data mining and computational statistics techniques learned during the course to real-world problems. Techniques other than those within the course syllabus can also be used, but we strongly recommend having a short discussion with the instructors before deciding to use the chosen technique/methodology. Data for these projects can be obtained from various internet sites, developed by students or delivered by the instructors (and listed in a separate document). R is a compulsory tool to be used within the projects. In what follow you will find a tentative list of possible topics which will be updated continuously in the next days.
FINANCE
• Bank customer credit scoring and profiling
• Stock market classification and forecasting
• Principal component regression of time series with many predictors
• Random variable generation for forecasting
• Credit card fraud detection
MARKETING
• Customer segmentation
• Customer retention
• Customer churn
• Customer care strategies
LINGUISTICS AND DOCUMENT CLASSIFICATION
• Web mining (including web usage, web structure and web content mining)
• Regression tree-based linguistics
SOCIAL NETWORKS AND INTERNET
• Wikipedia data
• Twitter data
PUBLIC OPINION MODELING
• Analysis of public opinion survey data
• Traditional and new media users' modelling
INFORMATICS
• Image recognition
• Intruder detection in TLC systems
• Public offering prices
PHYSICAL SCIENCES
• Weather data
MEDICINE AND BIOMEDICAL SCIENCES
• Decision making in medicine
• Effect analysis of new drugs and treatment