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Inside the Atoms: Mining a Network of Networks and Beyond by HangHang Tong at BigMine16

From Practice to Theory in Learning from Massive Data by Charles Elkan at BigMine16

Foundations for Scaling ML in Apache Spark by Joseph Bradley at BigMine16

Big Data and Small Devices by Katharina Morik

Exact Data Reduction for Big Data by Jieping Ye

Processing Reachability Queries with Realistic Constraints on Massive Networks by Hong Cheng

Challenging Problems for Scalable Mining of Heterogeneous Social and Information Networks by Jiawei Han

Big & Personal: the data and the models behind Netflix recommendations by Xavier Amatriain

Large Graph Mining – Patterns, tools and cascade analysis by Christos Faloutsos

Unexpected Challenges in Large Scale Machine Learning by Charles Parker

Big Data Analytics: Applications and Opportunities in On-line Predictive Modeling by Usama Fayyad