Project in Mining Massive Data Sets
Student Projects from Spring 2014
Large-scale Profiling of Movie Scenes and Character Types
by Fang-Chieh Chou, Jin Chen, and Yu-Wei Lin.
Cookieless Cross-Device Matching System
by Haoran Li, Yu Zhu, and Yang Zhao.
Detecting Anomalies in Operational Data by Nathaniel Gunther Roth, Rasmus Rygaard, and Zachary Yellin-Flaherty.
Predicting Breakout Apps in IOS
by Quaizar Vohra and Saurabh Madaan.
Anomaly detection in operational metrics by Aditya Palnitkar, Pararth Shah, and Vikesh Khanna.
Authorship Attribution in Multi-author Documents
by Tim Althoff, Denny Britz, and Zifei Shan.
Predicting Parkinson’s Disease Severity from Patient Voice Features
by Nicolas Genain, Madeline Huberth, and Roshan Vidyashankar.
Identify Breakout Hits in Twitter by Doubly Stochastic Self-Exciting Point Process by Qingyuan Zhao, Murat A. Erdogdu, and Hera He.
Tracking Tweets and their Retweets through Twitter
by Howon Lee, Dilli Paudel, and Joseph Victor.
Overlapping Community Detection Over Temporal Graph Sequences
by Kai Sheng Tai, Stephen Macke, and Yifei Huang.
Cookieless Fingerprints Across Devices
by Michael Fang, James Hong, and Seokho Hong.
Parkinson Disease Classifier Using Patient Voice Recording Data
by Han Lee, Yonghyun Ro, and Changwhan Yea.
Generalizing User Expertise in Recommender Systems
by James Liu, Rahul Pandey, and Hongxia Zhong.