Venue: Sheraton New York Times Square Hotel (map), Room: TBA.
| 8:30 to 8:35 |
Opening Remarks |
| 8:35 to 9:10 |
Keynote: Jieping Ye Exact Data Reduction for Big Data |
| 9:10 to 9:45 |
Keynote: Katharina Morik Big Data and Small Devices |
| 9:45 to 10:20 |
Keynote: Jimmy Lin Scaling Big Data Mining Infrastructure: The Twitter Experience |
| 10:20 to 10:30 |
Poster Highlight Madness: 60 seconds for each paper
|
| 10:30 to 11:00 |
Coffee Break |
| 11:00 to 11:35 |
Keynote: Jing Gao Inferring Information Trustworthiness from Multiple Sources of Heterogeneous Data |
| 11:35 to 12:30 |
Poster Session
- Parallel Graph Mining with GPUs
Robert Kessl, Nilothpal Talukder, Pranay Anchuri and Mohammed Zaki.
- Collapsed Gibbs Sampling for Latent Dirichlet Allocation on Spark
Zhuolin Qiu, Bin Wu, Bai Wang and Le Yu.
- FAQ: A Framework for Fast Approximate Query Processing on Temporal Data
Udayan Khurana, Srinivasan Parthasarathy and Deepak Turaga.
- Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning
Shingo Takamatsu and Carlos Guestrin.
- A Clustering Algorithm Merging MCMC and EM Methods Using SQL Queries
David Matusevich and Carlos Ordonez.
- A Fast Distributed Stochastic Gradient Descent Algorithm for Matrix Factorization
Fanglin Li, Bin Wu, Liutong Xu and Jing Shi.
- The Gamma Operator for Big Data Summarization on an Array DBMS
Carlos Ordonez, Yiqun Zhang and Wellington Cabrera.
- Towards Optimal Execution of Density-based Clustering on Heterogeneous Hardware
Dirk Habich, Stefanie Gahrig and Wolfgang Lehner.
- Scalable Graph Building from Text Data
Thibault Debatty, Pietro Michiardi, Olivier Thonnard and Wim Mees.
- High density-focused uncertainty sampling for active learning over evolving stream data
Dino Ienco, Indre Zliobaite and Bernhard Pfahringer.
- iPARAS: Incremental Construction of Parameter Space for Online Association Mining
Xiao Qin, Ramoza Ahsan, Xika Lin, Elke Rundensteiner and Matthew Ward.
- Frequent Subgraph Discovery in Large Attributed Streaming Graphs
Abhik Ray, Larry Holder and Sutanay Choudhury.
- From Tweets to Stories: Using Stream-Dashboard to weave the twitter data stream into dynamic cluster models
Basheer Hawwash and Olfa Nasraoui.
- Ensembles of Adaptive Model Rules from High-Speed Data Streams
Joao Duarte and Joao Gama.
- Scalable Heterogeneous Transfer Ranking
Mohammad Taha Bahadori, Yan Liu and Bo Long.
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KDD 2014, 8/24, New York 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
