ECE 6111 Graduate Seminar on Big Data for Mobile Social Network
Time: Friday. 11:00am-12:00pm
Place: E220, Engineering Building 2
Zhu Han
Topic: Big data, related courses
1. http://research.microsoft.com/apps/video/default.aspx?id=193507&l=i
2.
http://www.kdd.org/kdd2013/
3.
http://kdd2012.sigkdd.org/
4.
https://class.coursera.org/
5.
http://www.stanford.edu/
6.
http://www.ee.ucla.edu/ee236a/
7.
http://www.dtc.umn.edu/
8.
http://simons.berkeley.edu/
2016 Schedule
1. 2/5, Hung Nguyen, pdf
2. 2/12, Xunsheng Du, pdf
3. 2/19, Yunan Gu, pdf
4. 2/26, Yanru Zhang, pdf
5. 3/4, Radwa Sultan, pdf
6. 3/11, Jingyi Wang, pdf
7. 3/25, Errapotu,Saimounika, pdf
8. 4/1, Jahanipour,Jahandar, pdf
9. 4/8, Li, Xiaoyang, pdf
10. 4/8, Li, Lianyang, pdf
11. 4/15, Lu Hengyang, pdf
12. 4/15, Kevin Nathan, pdf
13. 4/22, Qiuyang Shen, pdf
14. 4/22, Hao Wu, pdf
15. 4/29, Lifeng Yan, pdf
16. 4/29, Xiong Zhou, pdf
2013 Schedule
1. 8/28, Sparse optimization 3: Alternating direction method of multipliers and split Bregman
2. 9/4, Sparse optimization 2: Sparse dual optimization
3. 9/11 Sparse optimization 1: Classic solvers and shrinkage operation, Sublinear algorithm (video)
4. 9/18 Sparse optimization 4 and 5: Prox-linear, coordinate minimization and gradient descent, homtopy, non-convex, greedy, algorithm for low rank matrices, and how to choose an algorithm
6. 9/25 Asymptotically Efficient Distributed Estimation With Exponential Family Statistics
7. 10/2, Distributed covariance estimation in Gaussian graphical models
9. 10/9, The pathologies of big data. A Jacobs, etc, 2009. Communications of the ACM.
10. 10/9, A Scalable Data Store for Transactional Multi key Access in the Cloud. S Das, etc, 2010.
11. 10/16, Dryad: distributed data-parallel programs from sequential building blocks. M Isard, etc, 2007. Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems
12. 10/16, Interpreting the data: Parallel analysis with Sawzall. R Pike, etc, 2005. Scientific Programming.
13. 10/23, A comparison of approaches to large-scale data analysis. A Pavlo, etc, 2009. Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
14. 10/23, A density-based algorithm for discovering clusters in large spatial databases with noise. M Ester, etc.1996, Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining
15. 10/30, Efficient clustering of high-dimensional data sets with application to reference matching．A McCallum, etc. 2000, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
16. 10/30, Efficient Algorithms for Mining Outliers from Large Data Sets. S Ramaswamy, etc. 2000, Proceedings of the 2000 ACM SIGMOD international conference on Management of data
17. 11/6, MAFIA: Efficient and Scalable Subspace Clustering for Very Large Data Sets. S Goil, etc. 1999, Technical report
18. 11/6, Automatic subspace clustering of high dimensional data for data mining applications. R Agrawal, etc, 1998. Proceedings of the 1998 ACM SIGMOD international conference on Management of data
19. 11/13, Learning to classify short and sparse text & web with hidden topics from large-scale data collections. XH Phan, etc, 2008. Proceedings of the 17th international conference on World Wide Web.
20. 11/13, Social influence analysis in large-scale networks. J Tang, etc. 2009. Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
21. 11/20, SRDA: An efficient algorithm for large-scale discriminant analysis. D Cai, etc, 2008. IEEE Transactions on Knowledge and Data Engineering
22. 11/20, Predictive discrete latent factor models for large scale dyadic data. D Agarwal, etc. 2007
23. 11/27, Computational solutions to large-scale data management and analysis. E Schadt, etc. 2010. Nature Reviews Genetics
24. 11/27, MAD skills: new analysis practices for big data. J Cohen, etc. 2009, Proceedings of the VLDB Endowment,
2012 Schedule
1. 9/5/12, Professor Qing Ling, Decentralized Jointly Sparse Optimization by Reweighted Lq Minimization
2. 9/12/12, 9/19/12, Yi Huang and Lanchao, Mining Heterogeneous Information Networks
3. 9/26/12, 10/3/12, Thanh and Wenhao, Large Graph Mining - Patterns, Tools and Cascade Analysis
4. 10/10/12, 10/17/12, Yitong and Linsen, Modeling Opinions and Beyond in Social Media
5. 10/24/12, Mahammad, Methods for Mining Social Media and Networks part 1
6. 10/31/12, Najmeh, Methods for Mining Social Media and Networks part 2
7. 11/7/12, Yanru, Two Computational Paradigms for Big Data
8. 11/14/12, 11/21/12, Preetham and Ali, Managing and Mining Billion-Node Graphs