CS341
Project in Mining Massive Data Sets
Spring 2016
Student Projects from Spring 2014
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Large-scale Profiling of Movie Scenes and Character Types
by Fang-Chieh Chou, Jin Chen, and Yu-Wei Lin.
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Cookieless Cross-Device Matching System
by Haoran Li, Yu Zhu, and Yang Zhao.
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Detecting Anomalies in Operational Data by Nathaniel Gunther Roth, Rasmus Rygaard, and Zachary Yellin-Flaherty.
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Predicting Breakout Apps in IOS
by Quaizar Vohra and Saurabh Madaan.
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Anomaly detection in operational metrics by Aditya Palnitkar, Pararth Shah, and Vikesh Khanna.
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Authorship Attribution in Multi-author Documents
by Tim Althoff, Denny Britz, and Zifei Shan.
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Predicting Parkinson’s Disease Severity from Patient Voice Features
by Nicolas Genain, Madeline Huberth, and Roshan Vidyashankar.
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Identify Breakout Hits in Twitter by Doubly Stochastic Self-Exciting Point Process by Qingyuan Zhao, Murat A. Erdogdu, and Hera He.
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Tracking Tweets and their Retweets through Twitter
by Howon Lee, Dilli Paudel, and Joseph Victor.
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Overlapping Community Detection Over Temporal Graph Sequences
by Kai Sheng Tai, Stephen Macke, and Yifei Huang.
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Cookieless Fingerprints Across Devices
by Michael Fang, James Hong, and Seokho Hong.
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Parkinson Disease Classifier Using Patient Voice Recording Data
by Han Lee, Yonghyun Ro, and Changwhan Yea.
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Generalizing User Expertise in Recommender Systems
by James Liu, Rahul Pandey, and Hongxia Zhong.