CSCE 496H/896 AI & Applications

Seminar Assignment

October 23, 2008

 

Introduction

 

The objective of this assignment is to let every student (1) learn to present a paper well and (2) learn to participate in a seminar well.  So it is more than a presentation.  It is a seminar where you are required to ask good questions and answer questions well.

 

Setup

 

E-mail me to let me know the paper and the date that you want to present.  Every student must present a different paper from the others.  So, the sooner you let me know, the more likely you will get to present the paper that you want to present. 

 

Grading

 

(1) 40% Summary of Paper

(2) 20% Organization (Time management, flow of presentation, poise, etc.)

(3) 20% Conclusions (Relevance, insights, etc.)

(4) 20% Q&A and Participation

 

Dates (with two seminars per date):

 

December 2, 4, 9, and 11

 

Papers

 

You are required to choose one of the following papers unless otherwise indicated.  I have the electronic copies of the following papers.  If you want one, let me know. 

 

For Background Information Only (Not for Seminar Presentation)

 

·          O’Reilly, T. (2005). What is Web 2.0? Design Patterns and Business Models for the Next Generation of Software, published on http://www.oreilly.com

·         The PetaAge.  (2007).  A collection of articles, published by the National Science Foundation.

·         McFedries, P. (2008).  The Cloud is the Computer, IEEE Spectrum, 45(8):20.

·         Kohavi, R. and F. Provost (2001).  Applications of Data Mining to Electronic Commerce, Data Mining and Knowledge Discovery, 5:5-10.

·         Akkermans, H. (2001).  Intelligent E-Business: From Technology to Value, IEEE Intelligent Systems, 16(4):8-10.

·         Benjamins, V. R. (2006).  AI’s Future: Innovating in Business and Society, IEEE Intelligent Systems, 21(3):72-73.

·         Hedberg, S. R. (1996).  AI Tools for Business-Process Modeling, IEEE Expert, 11(4):13-15.

 

For Seminar Presentation (but since these are short articles, pick two instead of one article)

 

·         Apte, C., B. Liu, E. P.D. Pednault, and P. Smyth (2002).  Business Applications of Data Mining, Communications of the ACM, 45(8):59-53.

·         Crawford, J. (2008).   Lessons Learned Delivering Optimized Supply-Chain Planning to the Business World, AI Magazine, 29(2):51-56.

·         Liao, Z. and M. T. Cheung (2008). Measuring Consumer Satisfaction in Internet Banking: A Core Framework, Communications of the ACM, 51(4):47-51.

·         Ferguson, M. (2005).  Building Intelligent Agents Using Business Activity Monitoring, DM Review Magazine.

 

For Seminar Presentation

 

·         Cannataro, M., A. Congiusta, A. Pugliese, D. Talia, and P. Trunfio (2004).  Distributed Data Mining on Grids: Services, Tools, and Applications, IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 34(6):2451-2465.

·         Hendler, J. (2001).  Agents and the Semantic Web, IEEE Intelligent Systems, 16(2):30-37.

·         Herbst, J. and D. Karagiannis (2000).  Integrating Machine Learning and Workflow Management to Support Acquisition and Adaptation of Workflow Models, International Journal of Intelligent Systems in Accounting, Finance, and Management, 9:67-92.

·         Hui, S. C., and G. Jha (2002).  Data Mining for Customer Service Support, Information & Management, 38:1-13.

·         Papazoglou, M. P. (2001).  Agent-Oriented Technology in Support of E-Business, Communications of the ACM, 44(4):71-77.

·         Wagner, C. and E. Turban (2002).  Are Intelligent E-Commerce Agents Partners or Predators?, Communications of the ACM, 45(5):84-90.

·         Wang, H., J. Mylopoulos, and S. Liao (2002).  Intelligent Agents and Financial Risk Monitoring Systems, Communications of the ACM, 45(3):83-88.

·         Wang, M. and H. Wang (2005). Intelligent Agent Supported Business Process Management, Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS’2005), IEEE Computer Society Press, Hawaii, USA, January.

·         Webb, G. I., M. J. Pazzani, and D. Billsus (2001).  Machine Learning for User Modeling, User Modeling and User-Adapted Interaction, 11:19-29.

 

Requirements

 

Each student is required to give a presentation of close to but no more than 25 minutes (the talk itself).   During the subsequent10-minute seminar (Q&A), you are required to answer questions.  All other students are required to ask at least one question in each seminar (except for their own seminar).  I will also ask questions.  Every student is required to give me an electronic copy of their presentation at least 3 hours before the class starts on the day of his seminar.  So I can make copies for all students.