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

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)

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

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)

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

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.

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, … …

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

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

Thanks for Your Attention!