1. Term Project Proposal
By J. H. Wang
Apr. 7, 2017

2. About the Term Project Two options for term project
Either team-based system development
e.g. extension to exercises
Or individual academic paper presentation
Only one person per team allowed
Tentative schedule for all teams
Proposal: *required* one week after midterm (Apr. 25, 2017)
Presentations: *required* in the last four weeks (starting from Jun. 2, 2017)
Final report: *required* before the end of the semester (Jun. 26, 2017)

3. Proposal for System Projects
A one-page description of ideas about your system
Introduction: an overview of the problem and possible issues
Methods: major ideas of your design to solve the problem
Team members: the names and responsibilities of each member must be clearly identified
Preferred time slots: your preferred time slot to present
A 20-minute presentation that focuses on the major ideas of your design, including demo and Q&A
System functionality and presentation will be counted in the score

4. Proposal for Paper Presentation
A one-page description of your selected paper
Introduction: an overview of the paper related to big data analytics
Keypoints: methods, major contribution, experimental results in your selected paper
Preferred time slots: your preferred time slot to present
A 20-minute presentation that focuses on the major ideas in your selected paper
Paper quality and presentation will be counted in the score
Recommended sources: (in the next two slides)

5. Conferences and Journals on Data Mining
KDD Conferences
ACM SIGKDD Int. Conf. on Knowledge Discovery in Databases and Data Mining (KDD)
SIAM Data Mining Conf. (SDM)
(IEEE) Int. Conf. on Data Mining (ICDM)
European Conf. on Machine Learning and Principles and practices of Knowledge Discovery and Data Mining (ECML-PKDD)
Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD)
Int. Conf. on Web Search and Data Mining (WSDM)
Other related conferences
DB conferences: ACM SIGMOD, VLDB, ICDE, EDBT, ICDT, …
Web and IR conferences: WWW, SIGIR, WSDM
ML conferences: ICML, NIPS
PR conferences: CVPR,
Journals
Data Mining and Knowledge Discovery (DAMI or DMKD)
IEEE Trans. On Knowledge and Data Eng. (TKDE)
KDD Explorations
ACM Trans. on KDD

6. Where to Find References? DBLP, CiteSeer, Google
Data mining and KDD (SIGKDD: CDROM)
Conferences: ACM-SIGKDD, IEEE-ICDM, SIAM-DM, PKDD, PAKDD, etc.
Journal: Data Mining and Knowledge Discovery, KDD Explorations, ACM TKDD
Database systems (SIGMOD: ACM SIGMOD Anthology—CD ROM)
Conferences: ACM-SIGMOD, ACM-PODS, VLDB, IEEE-ICDE, EDBT, ICDT, DASFAA
Journals: IEEE-TKDE, ACM-TODS/TOIS, JIIS, J. ACM, VLDB J., Info. Sys., etc.
AI & Machine Learning
Conferences: Machine learning (ML), AAAI, IJCAI, COLT (Learning Theory), CVPR, NIPS, etc.
Journals: Machine Learning, Artificial Intelligence, Knowledge and Information Systems, IEEE-PAMI, etc.
Web and IR
Conferences: SIGIR, WWW, CIKM, etc.
Journals: WWW: Internet and Web Information Systems,
Statistics
Conferences: Joint Stat. Meeting, etc.
Journals: Annals of statistics, etc.
Visualization
Conference proceedings: CHI, ACM-SIGGraph, etc.
Journals: IEEE Trans. visualization and computer graphics, etc.

7. Resources on distributed computing and parallel algorithms (and OS!)
Example topics:
Efficient scheduling algorithms in MapReduce framework
efficient matrix computation in Spark
Tensorflow for large-scale machine learning
Performance analysis of a Tensorflow Processing Unit (TPU)
Using deep learning techniques for classification, pattern recognition, image recognition, speech recognition, … …

8. Proposal Submission Due: Apr. 25, 2017 How:
Homework submission site
The presentation schedule will be arranged in the last four (3.5) weeks
Starting from Jun. 2, 2017
No other time slots available for presentation
No presentation, no score for term project

9. About the Score
The score you’ll get depends on the functionality, difficulty, and quality of your project
For system development:
System functions and correctness
You can either write your own program, or call existing open source code or library (but NOT executing existing binary only)
For academic paper presentation
Quality and your presentation of the paper is critical
Major methods/experimental results *must* be presented
Papers from top conferences are strongly suggested
Proposals, presentations, and reports are *required* for each team, and will be counted in the score
Big Data Analytics, Spring 2017
NTUT CSIE

10. Thanks for Your Attention!