Slides of keynote speeches, tutorials and panelist presentations at IEEE Big Data 2014

November 23, 2014
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(This article was first published on blog.RDataMining.com, and kindly contributed to R-bloggers)

Slides of keynote speeches, tutorials and panelist presentations at the 2014 IEEE International Conference on Big Data can be found at the conference website at links below.

(1) Keynote speech
http://cci.drexel.edu/bigdata/bigdata2014/keynotespeech.htm
– Never-Ending Language Learning, Tom Mitchell – E. Fredkin University Professor, Machine Learning Department, Carnegie Mellon University
– Smart Data – How you and I will exploit Big Data for personalized digital health and many other activities, Amit Sheth, LexisNexis Ohio Eminent Scholar, Kno.e.sis – Wright State University
– Addressing Human Bottlenecks in Big Data, Joseph M. Hellerstein, Chancellor’s Professor of Computer Science, University of California, Berkeley and Trifacta

(2) Tutorials
http://cci.drexel.edu/bigdata/bigdata2014/tutorial.htm
– Big Data Stream Mining
Presenters: Gianmarco De Francisci Morales, Joao Gama, Albert Bifet, andWei Fan
– Big ML Software for Modern ML Algorithms
Presenters: Eric P. Xing and Qirong Ho
– Large-scale Heterogeneous Learning in Big Data Analytics
Presenters: Jun Huan
– Big Data Benchmarking
Presenters:  Chaitan Baru and Tilmann Rabl

(3) Panel: Big Data Challenges and Opportunities
http://cci.drexel.edu/bigdata/bigdata2014/panel.htm

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