Data Mining |
EECS 6412 |
Winter 2017 |
York University
|
Date | Presenter(s) | Title of the paper | Slides |
March 15 | Sherry Zhu | Outlier Detection (Chapter 12 of Jiawei Han's book) | |
March 20 | Hao Li | Scaling up classification rule induction through parallel processing | |
March 20 | Matthew Tesfaldet | A Training Algorithm for Optimal Margin Classiers | Slides |
March 22 | Sedtawut Watcharawittayakul | Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks | |
March 22 | Yifan Li | Approximate Frequency Counts over Data Streams | |
March 27 | Po Wu | A Neighborhood-based Clustering Algorithm | |
March 27 | Nasim Razavi | Constrained K-means Clustering with Background Knowledge | |
March 29 | Mingbin Xu | Distributed Representations of Sentences and Documents | |
March 29 | Dekun Wu | User-Level Sentiment Analysis Incorporating Social Networks | |
April 3 | Shima Khoshraftar | Latent dirichlet allocation | |
April 3 | Eunkyung Park | Geo-spatial Event Detection in the Twitter Stream | |
April 5 | Khadijah Alroogi | The PageRank Citation Ranking: Bringing Order to the Web | |
April 5 | Rui Gong | TBA |