|
Data Mining |
| EECS-6412 |
| Fall 2019 |
|
York University
|
| Order | Team | Title of the project |
| 1 | Fazel Arasteh and Ali NematiChari | Predicting Future Sales |
| 2 | Farnaz Beidokhtinezhad and Saeed Khodaparast | Synthetic Data Generation for Anomaly Detection in Dynamic Graphs |
| 3 | Mahima Chaudhary and Karan Singh | Comparison of Collaborative Filtering Recommendation Methods | 4 | Ali Nasehzadeh and Narges Haghighati Boroujeni | Predicting Home Credit Default Risk? |
| 5 | Keyi Liu | Clustering for bounding box initialization |
| 6 | Lei Liu | Network Anomaly Detection |
| 7 | Soroush Sheikh Gargar and Pouneh Moghimi | Constraint Association Rule Mining with Consumer Data |
| 8 | Kim Long Ngo and Ali Raza Syed | Feature Selection and Classification of Consumer Data |
| 9 | Jiaying Ou and Hongda Wu | Stance detection |
| 10 | Mana Poustizadeh and Xue Teng | Prognosis of Alzheimer's Disease with Time Series Analysis Algorithms |
| 11 | Javad Sayevand | Hot Spot Detection with SweepLine |
| 12 | Shirin Khadijeh Saednia and Hamidreza Taleghamar | Nuclei Segmentation in Histopathology Images using Deep Networks |
| 13 | Chenxing Zheng | News Headline Relevance Prediction |
| 14 | Saghar Bagheri and Mahta Shafieesabet | ??? |