Slides of 12 tutorials at ACM SIGKDD 2014

Slides of 12 tutorials taught by data science experts and thought leaders at ACM SIGKDD 2014 are provided at http://www.kdd.org/kdd2014/tutorials.html. Below is a list of them.

1.Scaling Up Deep Learning
Yoshua Bengio

2. Constructing and mining web-scale knowledge graphs
Antoine Bordes, Evgeniy Gabrilovich

3. Bringing Structure to Text: Mining Phrases, Entity Concepts, Topics, and Hierarchies
Jiawei Han, Chi Wang, Ahmed El-Kishky

4. Computational Epidemiology
Madhav Marathe, Naren Ramakrishnan, Anil Kumar S. Vullikanti

5. Management and Analytic of Biomedical Big Data with Cloud-based In-Memory Database and Dynamic Querying: A Hands-on Experience with Real-world Data
Roger Mark, John Ellenberger, Mengling Feng, Mohammad Ghassemi, Thomas Brennan, Ishrar Hussain

6. The Recommender Problem Revisited
Xavier Amatriain, Bamshad Mobasher

7. Correlation clustering: from theory to practice
Francesco Bonchi, David Garcia-Soriano, Edo Liberty

8. Deep Learning
Ruslan Salakhutdinov

9. Network Mining and Analysis for Social Applications
Feida Zhu, Huan Sun, Xifeng Yan

10. Sampling for Big Data
Graham Cormode, Nick Duffield

11. Statistically Sound Pattern Discovery
Geoff Webb, Wilhelmiina Hamalainen

12. Recommendation in Social Media
Jiliang Tang, Jie Tang, Huan Liu

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About Yanchang Zhao

I am a data scientist, using R for data mining applications. My work on R and data mining: RDataMining.com; Twitter; Group on Linkedin; and Group on Google.
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