KDD-2013 Tutorial
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- Algorithmic techniques for modeling and mining large graphs (AMAzING)
- large graph mining
- 涉及:
- random graph
- graph sparsifier(图稀疏化 这篇文章有个简介)
- graph partition
- finding dense subgraph
- Mining Data from Mobile Devices: A Survey of Smart Sensing and Analytics
- 涉及手机安全,健康,广告,跟我们没啥关系
- Big Data Analytics for Healthcare
- big medical data mining
- Entity Resolution for Big Data
- 现在和entity相关的有三类:extract entity, match entity, resolve entity(去重),这篇文章关注resolve entity。包括以下三个方面:
- scalable ER
- active and lightly supervised ER
- query-driver ER
- Network Sampling
- sampling a subgraph of interest
- The Dataminer’s Guide to Scalable Mixed-Membership and Nonparametric Bayesian Models.
- hierarchical nonparametric Bayesian model