KDD Nuggets 95:27, e-mailed 95-10-27 Contents: * U. Fayyad, KDD-96 dates change: August 2-4, 1996 http://www-aig.jpl.nasa.gov/kdd96 * M. Pazzani, Graduate Fellowships at UCI, http://www.ics.uci.edu/~gcounsel/applicantfaq.html * R. Kohavi, PhD Dissertation: Wrappers for Performance Enhancement, http://robotics.stanford.edu/~ronnyk * B. Jueneman, ABA Digital Signature Guidelines released http://www.intermarket.com/ecl CFPs: * E. Horvitz, CFP: UAI-96, Portland, Oregon, Aug 1-3 http://cuai-96.microsoft.com/ * W. Ziarko, CFP: Data Mining and Rough Sets session at CESA-96, July 9-12, 1996, Lille, France * R. Uthurusamy, Data Mining Talks at CIKM, Nov 29-Dec 2, 1995 * R. Golan, CFP: Computational Intelligence for Financial Engineering, CIFEr-96, http://www.ieee.org/nnc/conferences/cfp/cifer96.html -- The KDD Nuggets is a moderated mailing list on Data Mining and Knowledge Discovery in Databases (KDD). Please include a DESCRIPTIVE subject line and a URL, when available, in your submission. Nuggets frequency is approximately weekly. Back issues of Nuggets, a catalog of S*i*ftware (data mining tools), references, and other related information is available at Knowledge Discovery Mine, URL http://info.gte.com/~kdd E-mail add/delete requests to kdd-request@gte.com E-mail contributions with a DESCRIPTIVE subject line to kdd@gte.com. -- Gregory Piatetsky-Shapiro (moderator) ********************* Official disclaimer *********************************** * All opinions expressed herein are those of the writers (or the moderator) * * and not necessarily of their respective employers (or GTE Laboratories) * ***************************************************************************** ~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ "All the creation is a mine, and every man a miner. The whole earth, and all within it, upon it, and round about it, including himself, in his physical, moral and intellectual nature, and his susceptibilities, are the infinitely various "leads," from which man, from the first, was to dig out his destiny. In the beginning the mine was unopened, and the miner stood naked and knowledgeless upon it." from "Abraham Lincoln -- Wisdom and Wit" (thanks to Se June Hong) >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Date: Mon, 23 Oct 95 13:00:23 PDT From: fayyad@aig.jpl.nasa.gov (Usama Fayyad) Subject: KDD-96 Update 1. Please note that the conference will now be held one day earlier: August 2-4 (instead of original 3-5), and we plan a 2.5 day conference. 2. We have updated and finalized the material on the web. If you have not visited the homepage in the last 3 days, please do so and check it for any changes. You will find an html, a postscript 1-pager for your use in posting, and an ASCII text version. The address is: http://www-aig.jpl.nasa.gov/kdd96/ and you can reach our publicity chair by e-mailing: kdd96@aig.jpl.nasa.gov [Also note great new image poster -- the "Dawn of KDD" at http://www-aig.jpl.nasa.gov/kdd96/KDD96-Poster.jpeg -- GPS] >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Subject: Graduate Fellowships at UCI Date: Sat, 21 Oct 1995 09:18:21 -0700 From: Michael Pazzani The Information and Computer Science Department at UCI has received a GAANN grant from the Department of Education that can award 10 2-year fellowships to incoming students. The AI faculty at UCI are: Rina Dechter- Automated Reasoning, Constraint Networks, Bayesian Networks Rick Granger- Neural Networks, Computational Neuroscience Dennis Kibler- Machine Learning, Instance Based Learning, Prototype Learning Rick Lathrop- Intelligent Systems in Molecular Biology, Machine Learning Michael Pazzani- Machine Learning, Knowledge-intensive methods, Cognition Padhraic Smyth- Statistical Pattern Recognition, KDD. (Starting April 1996) The AI faculty have research funds from NSF, ARPA, ONR, and AFOSR as well as joint projects with industry to support graduate students as research assistants after the initial two year fellowships. Application material, including an online application, can be found on the WWW at http://www.ics.uci.edu/~gcounsel/applicantfaq.html or by sending e-mail to Email: theresa@ics.uci.edu Phone: (714) 824-2277 >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ via ML-list Subject: PhD Dissertation by Ron Kohavi available From: Ronny Kohavi Date: Sun, 15 Oct 1995 20:29:57 -0700 Wrappers for Performance Enhancement and Oblivious Decision Graphs Ron Kohavi Stanford University http://robotics.stanford.edu/~ronnyk We study three basic problems in machine learning and two new hypothesis spaces with corresponding learning algorithms. The problems we investigate are: accuracy estimation, feature subset selection, and parameter tuning. The latter two problems are related and are studied under the wrapper approach. The hypothesis spaces we investigate are: decision tables with a default majority rule DTMS and oblivious read-once decision graphs OODGs. For accuracy estimation, we investigate cross-validation and the .632 bootstrap. We show examples where they fail and conduct a large scale study comparing them. We conclude that repeated runs of five-fold cross-validation give a good tradeoff between bias and variance for the problem of model selection used in later chapters. We define the WRAPPER APPROACH and use it for feature subset selection and parameter tuning. We relate definitions of feature relevancy to the set of optimal features, which is defined with respect to both a concept and an induction algorithm. The wrapper approach requires a search space, operators, a search engine, and an evaluation function. We investigate all of them in detail and introduce COMPOUND OPERATORS for feature subset selection. Finally, we abstract the search problem into search with probabilistic estimates. We introduce decision tables with a default majority rule DTMs to test the conjecture that feature subset selection is a very powerful bias. The accuracy of induced DTMs is surprisingly powerful, and we concluded that this bias is extremely important for many real-world datasets. We show that the resulting decision tables are VERY small and can be succinctly displayed. We study properties of oblivious read-once decision graphs OODGs and show that they do not suffer from some inherent limitations of decision trees. We describe a a general framework for constructing OODGs bottom-up and specialize it using the wrapper approach. We show that the graphs produced are use less features than C4.5, the state-of-the-art decision tree induction algorithm, and are usually easier for humans to comprehend. To retrieve, either click on the "online" dissertation off my home page http://robotics.stanford.edu/~ronnyk or use anonymous ftp to ftp://starry.stanford.edu/pub/ronnyk/teza.ps. The dissertation is 281 pages (4.1MB) and includes an index. >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ From: Jueneman@gte.com Date: Wed, 25 Oct 1995 18:01:36 EDT Subject: ABA Digital Signature Guidelines released for public comment The following message has been posted to the pem-dev, ietf-pkix, ietf-payments, and e-payment lists, and is posted to all-labs because of the relatively short time available for public comment. Please pass the notice on to your contacts in the various SBUs and other companies who may be interested in the Internet, the World-Wide Web, privacy and integrity issues, electronic commerce, digital signatures, X.500 directories, X.509 directories, state legislation, etc. Bob ------- After almost three years of work, the Information Security Committee of the American Bar Association, EDI and Information Technology Division, Science and Technology Section has released the first public draft of an important document entitled "Digital Signature Guidelines" (DSG). The ABA/Information Security Committee is soliciting comments from the public by November 30th. The DSG can be found at http://www.intermarket.com/ecl and has versions available to download in wp5.1, wp6.0, Word, text, and should have versions available in Postscript and HTML shortly, if not already. The DSG is over 100 pages long, and contains a 14 page tutorial on signatures and the law, how digital signature technology works, public key certificates, and challenges and opportunities. The Guidelines themselves provide 30 pages of technical/legal definitions, followed by a discussion of General Principles (2 pages), Certification Authorities and their rights and duties (15 pages), Subscribers (users who are issued a certificate) and their rights and duties (3 pages), and Relying on Digital Signatures (10 pages). The text is extensively commented and footnoted. The intended audience includes jurists and attorneys who may be involved in litigation and/or providing advice to people contemplating the use of digital signatures in electronic commerce and other fields, legislators and staff who are in the process of developing digital signature legislation in more than 20 states, technologists who are developing the standards and writing the systems necessary to provide both the public key infrastructure and the necessary applications, and notaries public and CyberNotaries in both the English common law and the Roman civil law traditions in different countries who may be involved in international EDI and similar transactions involving digital signatures for very large transactions. The Information Security Committee is chaired by Michael Baum. Some of the members who contributed to the document from time to time included practicing attorneys from some very prestigious law firms, the Social Security Administration, the US Postal Service, and various corporations; a representative from the US Department of State for International Law; an Administrative Law Judge; the Assistant Utah Attorney General; the President of the International Union of Latin Notaries and a number of well-respected technologists including Richard Ankey, Warwick Ford, Yair Frankel, Russ Housley, Steve Kent, Hoyt Kesterson, Stan Kurzban, Sead Muftic, Frank Sudia, and myself, plus others whom I may have overlooked. Although developed under the auspices of the ABA, perhaps a third of the participants were from outside the US, including Canada, Mexico, Puerto Rico, the United Kingdom, Belgium, France, Italy, and Sweden, and the intent was that the document be broadly applicable to other legal systems as well. Because I expect that many of the comments from people on these lists may be in the form of questions, I will attempt to answer such questions within my ability and schedule. I would suggest that unless there are specific items that apply only to the ietf-pkix, ietf-payments, or e-payment list that comments and discussion of a general nature be posted to pem-dev@tis.com. I will attempt to digest the relevant comments and forward them to the rest of the ISC. If you would prefer that your comments be restricted to the ISC and not responded to or included in the digest of public comments, please indicate that in the message. If you have comments of a more general or legal nature, feel free to post them to the "official" comment list, which is . It is not my intent to filter or otherwise restrict comments by volunteering to try to answer questions from these groups -- I'm only trying to expedite the process. Bob Robert R. Jueneman Staff Scientist GTE Laboratories 1-617-466-2820 Office 1-508-264-0485 Telecommuting Bob Robert R. Jueneman GTE Laboratories 1-617-466-2820 Office 1-508-264-0485 Telecommuting >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ From: Eric Horvitz Date: Sat, 21 Oct 95 22:26:44 TZ Subject: UAI 96: Announcement and Call for Papers ============================================================ C A L L F O R P A P E R S ============================================================ ** U A I 96 ** THE TWELFTH ANNUAL CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE August 1-3, 1996 Portland, Oregon, USA ======================================= Visit the UAI-96 WWW page at http://cuai-96.microsoft.com/ CALL FOR PAPERS The effective handling of uncertainty is critical in designing, understanding, and evaluating computational systems tasked with making intelligent decisions. For over a decade, the Conference on Uncertainty in Artificial Intelligence (UAI) has served as the central meeting on advances in methods for reasoning under uncertainty in computer-based systems. The conference is the annual international forum for exchanging results on the use of principled uncertain-reasoning methods to solve difficult challenges in AI. Theoretical and empirical contributions first presented at UAI have continued to have significant influence on the direction and focus of the larger community of AI researchers. The scope of UAI covers a broad spectrum of approaches to automated reasoning and decision making under uncertainty. Contributions to the proceedings address topics that advance theoretical principles or provide insights through empirical study of applications. Interests include quantitative and qualitative approaches, and traditional as well as alternative paradigms of uncertain reasoning. Innovative applications of automated uncertain reasoning have spanned a broad spectrum of tasks and domains, including systems that make autonomous decisions and those designed to support human decision making through interactive use. We encourage submissions of papers for UAI-96 that report on advances in the core areas of representation, inference, learning, and knowledge acquisition, as well as on insights derived from building or using applications of uncertain reasoning. Topics of interest include (but are not limited to): >> Foundations * Theoretical foundations of uncertain belief and decision * Uncertainty and models of causality * Representation of uncertainty and preference * Generalization of semantics of belief * Conceptual relationships among alternative calculi * Models of confidence in model structure and belief >> Principles and Methods * Planning under uncertainty * Temporal reasoning * Markov processes and decisions under uncertainty * Qualitative methods and models * Automated construction of decision models * Abstraction in representation and inference * Representing intervention and persistence * Uncertainty and methods for learning and datamining * Computation and action under limited resources * Control of computational processes under uncertainty * Time-dependent utility and time-critical decisions * Uncertainty and economic models of problem solving * Integration of logical and probabilistic inference * Statistical methods for automated uncertain reasoning * Synthesis of Bayesian and neural net techniques * Algorithms for uncertain reasoning * Advances in diagnosis, troubleshooting, and test selection >> Empirical Study and Applications * Empirical validation of methods for planning, learning, and diagnosis * Enhancing the human--computer interface with uncertain reasoning * Uncertain reasoning in embedded, situated systems (e.g., softbots) * Automated explanation of results of uncertain reasoning * Nature and performance of architectures for real-time reasoning * Experimental studies of inference strategies * Experience with knowledge-acquisition methods * Comparison of repres. and inferential adequacy of different calculi * Uncertain reasoning and information retrieval For papers focused on applications in specific domains, we suggest that the following issues be addressed in the submission: - Why was it necessary to represent uncertainty in your domain? - What are the distinguishing properties of the domain and problem? - What kind of uncertainties does your application address? - Why did you decide to use your particular uncertainty formalism? - What theoretical problems, if any, did you encounter? - What practical problems did you encounter? - Did users/clients of your system find the results useful? - Did your system lead to improvements in decision making? - What approaches were effective (ineffective) in your domain? - What methods were used to validate the effectiveness of the systems? ================================= SUBMISSION AND REVIEW OF PAPERS ================================= Submitted papers will be evaluated on the basis of originality, significance, technical soundness, and clarity of exposition. Papers may be accepted for presentation in plenary or poster sessions. All accepted papers will be included in the Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence, published by Morgan Kaufmann Publishers. Outstanding student papers will be selected for special distinction. Submitted papers must be at most 20 pages of 12pt Latex article style or equivalent (about 4500 words). We strongly encourage the electronic submission of papers. To submit a paper electronically, send an email message to the program chairs at uai@microsoft.com that includes the following information (in this order): * Paper title (plain text) * Author names, including student status (plain text) * Surface mail and Email address for a contact author (plain text) * A short abstract including keywords or topic indicators (plain text) An electronic version of the paper (Postscript format) should be submitted simultaneously via ftp to: cuai-96.microsoft.com/incoming. Files should be named $.ps, where $ is an identifier created from the first five letters of the last name of the first author, followed by the first initial of the author's first name. Multiple submissions by the same first author should be indicated by adding a number (e.g., pearlj2.ps) to the end of the identifier. Authors will receive electronic confirmation of the successful receipt of their articles. Authors unable to submit papers electronically should send the first four items electronically to the email address above, and 5 copies of the complete paper to one of the Program Chairs at the addresses listed below. ++++++++++++++++++++++++++++++ Important Dates ++++++++++++++++++++++++++++++ >> All submissions must be received by 5PM local time: Feb 16, 1996 >> Notification of acceptance on or before: April 5, 1996 >> Camera-ready copy due: May 3, 1996 ========================== Program Cochairs (Submissions and program information): ================= Eric Horvitz Decision Theory Group Microsoft Research, 9S Redmond, WA 98052 Phone: (206) 936 2127 Fax: (206) 936 0502 Email: horvitz@microsoft.com WWW: http://www.research.microsoft.com/research/dtg/horvitz/ Finn Jensen Department of Mathematics and Computer Science Aalborg University Fredrik Bajers Vej 7,E DK-9220 Aalborg OE Denmark Phone: +45 98 15 85 22 (ext. 5024) Fax: +45 98 15 81 29 Email: fvj@iesd.auc.dk WWW: http://www.iesd.auc.dk/cgi-bin/photofinger?fvj General Conference Chair (General conference inquiries): ======================== Steve Hanks Department of Computer Science and Engineering, FR-35 University of Washington Seattle, WA 98195 Tel: (206) 543 4784 Fax: (206) 543 2969 Email: hanks@cs.washington.edu ================================================= UAI-96 will occur right before AAAI-96, KDD-96, and the AAAI workshops, and will be in close proximity to these meetings. * * * Refer to the UAI-96 WWW home page for late-breaking information: http://cuai-96.microsoft.com/ >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ From: Wojtek Ziarko Subject: Data Mining and Rough Sets Session Date: Tue, 24 Oct 1995 17:39:53 -0600 (CST) CALL FOR PAPERS *************** CESA'96 COMPUTATIONAL ENGINEERING IN SYSTEMS APPLICATIONS (Sponsored by IMACS and IEEE-SMC) July 9-12, 1996 Lille, France INVITED SESSION ON DATA MINING AND ROUGH SETS Session Organizers: Anita Wasilewska Department of Computer Science State University of New York at Stony Brook Stony Brook, New York 11794-4400, USA tel. (516) 632 8458 fax. (516) 632 8334 Internet: anita@cs.sunysb.edu Wojciech Ziarko Department of Computer Science University of Regina Regina, Saskatchewan, S4S 0A2, Canada tel. (306) 585 5213 fax. (306) 585 4745 Internet: ziarko@cs.uregina.ca Please, submit approximately one page abstract of your presentation by January 15, 1996 to Anita Wasilewska at the above address. Electronic submission is recommended. Final, camera-ready papers will be due May 1, 1996. The papers will be reviewed prior to inclusion in the Conference Proceedings. About the Subject of the Session: Database mining is considered to be one of the most promising directions spanning database and AI research. The primary objective of database mining methodologies and systems is to help the user in discovering potentially significant facts or data patterns. Although statistical methods offer some help in that respect, their applicability is limited by often strong assumptions and general lack of techniques to analyze and characterize the structural relationships existing in data. Consequently, much of database mining, or knowledge discovery in databases (KDD) research is rooted in former machine learning research. However, the goals of machine learning are different from database mining and, therefore, simple adaptation of learning algorithms to deal with database mining questions solves a small part of the whole problem. What is needed is a comprehensive, well founded and consistent approach aimed at dealing with a number of KDD-related problems. Typical problems are the analysis of data dependencies, identification of fundamental factors affecting such dependencies, discovery of predictive rules etc. It seems that methodology of rough sets and its extensions offer such a theoretical framework to systematically study such KDD problems and related algorithms. The main subject of this session will be presentation of the most recent research and applications of rough set-based approach to database mining. We also look for contributions covering related topics. These include neural nets approach and possibly other approaches to discovery of patterns in data, acquisition of control algorithms from data by using data mining techniques, data preprocessing techniques and techniques for approximate representation and reasoning with discovered knowledge. Summary of Conference Deadlines: January 15, 1996 Submission of draft papers or extended abstracts March 1, 1996 Notification of acceptance May 1, 1996 Submission of camera ready papers >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Date: Thu, 26 Oct 1995 08:52:00 -0400 From: samy@ru.cs.gmr.com (R. Uthurusamy) Subject: Data Mining Talks at CIKM FOURTH INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT November 29 - December 2, 1995 Omni Inner Harbor Hotel, Baltimore, Maryland, USA Sponsored by ACM SIGART and ACM SIGIR in cooperation with NASA, Bellcore NSF, AAAI*, ACM SIGART, ACM SIGLINK, CACS/USL, UMBC The advance technical program, workshop information, registration form, information on Baltimore, plus other useful stuff can be found at one of the following Web sites: http://www.cs.umanitoba.ca/~randal/CIKM95.html http://www.cs.umbc.edu/conferences/cikm/ Session 1: Data Mining Chair: Tim Finin, University of Maryland, Baltimore County Session 3: Invited Talks 1. Research Problems in Data Warehousing Jennifer Widom, Stanford University 2. Applications of Neural Nets To Databases Harold Zsu, USL Session 9: Invited Talks 1. Mining Knowledge at Multiple Concept Levels J.W. Han, Simon Fraser University ---- >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Date: 26 Oct 1995 08:20:26 +0500 From: "Robert Golan" Subject: Re: CIFEr'96 Call for Papers Call for Papers Conference on Computational Intelligence for Financial Engineering CIFEr Conference March 24-26, 1996, New York City, Crowne Plaza Manhattan Sponsors: The IEEE Neural Networks Council, The International Association of Financial Engineers The IEEE/IAFE CIFEr Conference is the second annual collaboration between the professional engineering and financial communities, and is one of the leading forums for new technologies and applications in the intersection = of computational intelligence and financial engineering. Intelligent computational systems have become indispensable in virtually all financial applications, from portfolio selection to proprietary trading to risk management. Topics in which papers, panel sessions, and tutorial = proposals are invited include, but are not limited to, the following: CONFERENCE TOPICS ----------------- > Financial Engineering Applications: Trading Systems Forecasting Hedging Strategies Risk Management Pricing of Structured Securities Systemic Risk Asset Allocation Exotic Options > Computer & Engineering Applications & Models: Neural Networks Probabilistic Reasoning Fuzzy Systems and Rough Sets Stochastic Processes Dynamic Optimization Time Series Analysis Non-linear Dynamics Evolutionary Computation INSTRUCTIONS FOR AUTHORS, PANEL PROPOSALS, SPECIAL SESSIONS, TUTORIALS ---------------------------------------------------------------------- All summaries and proposals for tutorials, panels and special sessions = must be received by the conference Secretariat at Meeting Management by = December 1, 1995. Our intentions are to publish a book with the best selection of papers accepted. AUTHORS (FOR CONFERENCE ORAL SESSIONS) -------------------------------------- One copy of the Extended Summary (not exceeding four pages of 8.5 inch by 11 inch size) must be received by Meeting Management by December 1, 1995. Centered at the top of the first page should be the paper's complete = title, author name(s), affiliation(s), and mailing addresses(es). Fonts no smaller than 10 pt should be used. Papers must report original work that has not been published previously, and is not under consideration for publication elsewhere. In the letter accompanying the submission, the following information should be included: * Topic(s) * Full title of paper * Corresponding Author's name * Mailing address * Telephone and fax * E-mail (if available) * Presenter (If different from corresponding author, please provide name, mailing address, etc.) Authors will be notified of acceptance of the Extended Summary by January 10, 1996. Complete papers (up to a maximum of seven 8.5 inch by 11 inch pages) will be due by February 9, 1996, and will be published in the conference proceedings. SPECIAL SESSIONS ---------------- A limited number of special sessions will address subjects within the topical scope of the conference. Each special session will consist of = from four to six papers on a specific topic. Proposals for special sessions will be submitted by the session organizer and should include: * Topic(s) * Title of Special Session * Name, address, phone, fax, and email of the Session Organizer * List of paper titles with authors' names and addresses * One page of summaries of all papers Notification of acceptance of special session proposals will be on January 10, 1995. If a proposal for a special session is accepted, the authors will be required to submit a camera ready copy of their paper for the conference proceedings by February 9, 1996. PANEL PROPOSALS --------------- Proposals for panels addressing topics within the technical scope of the conference will be considered. Panel organizers should describe, in two pages or less, the objective of the panel and the topic(s) to be = addressed. Panel sessions should be interactive with panel members and the audience and should not be a sequence of paper presentations by the panel members. The participants in the panel should be identified. No papers will be published from panel activities. Notification of acceptance of panel session proposals will be on January 10, 1996. TUTORIAL PROPOSALS ------------------ Proposals for tutorials addressing subjects within the topical scope of = the conference will be considered. Proposals for tutorials should describe, = in two pages or less, the objective of the panel and the topic(s) to be addressed. A detailed syllabus of the course contents should also be included. Most tutorials will be four hours, although proposals for = longer tutorials will also be considered. Notification of acceptance of tutorial proposals will be on January 10, 1996. EXHIBIT INFORMATION ------------------- Businesses with activities related to financial engineering, including software & hardware vendors, publishers and academic institutions, are invited to participate in CIFEr's exhibits. Further information about the exhibits can be obtained from the CIFEr-secretariat, Barbara Klemm. SPONSORS -------- Sponsorship for the CIFEr Conference is being provided by the IAFE (International Association of Financial Engineers) and the IEEE Neural Networks Council. The IEEE (Institute of Electrical and Electronics Engineers) is the world's largest engineering and computer science professional non-profit association and sponsors hundreds of technical conferences and publications annually. The IAFE is a professional non-profit financial association with members worldwide specializing in = new financial product design, derivative structures, risk management strategies, arbitrage techniques, and application of computational techniques to finance. Early registration is $400 for IEEE (Institute of Electrical and = Electronic Engineers, Neural Networks Council) and IAFE (International Association of Financial Engineers) members. For details contact Barbara Klemm at = Meeting Management. INFORMATION ----------- CIFEr Secretariat: Meeting Management IEEE/IAFE Computational Intelligence for Financial Engineering 2603 Main Street, Suite #690 Irvine, California 92714 Tel: (714) 752-8205 or (800) 321-6338 Fax: (714) 752-7444 Email: 74710.2266@compuserve.com ORGANIZING COMMITTEE -------------------- Keynote Speaker: Stephen Figlewski, Professor of Finance and Editor of the Journal of Derivatives Stern School of Business, New York University John M. Mulvey, Professor and Director Engineering Management Systems Princeton University, Princeton Conference Committee General Co-chairs: John Marshall, Professor of Financial Engineering Polytechnic University, New York, NY Robert Marks, Professor of Electrical Engineering, University of Washington, Seattle, WA Program Committee Co-chairs: Benjamin Melamed, Ph.D., Research Scientist RUTCOR-Rutgers University's Center for Operations Research Alan Tucker, Associate Professor of Finance Pace University, New York, NY International Liaison: Arnold Jang, Vice President, Intelligent Trading Systems Springfields Investments Advisory Company, Taipei, Taiwan Organizational Chair: Robert Golan, President Rough Knowledge Discovery Inc. Finance Chair: Ingrid Marshall, Accountant Marshall & Marshall, Stroudsburg, PA Exhibits Chair: Steve Piche, Lead Scientist Pavillion Inc, Austin Program Co-Chair: Alan Tucker and Benjamin Melamed Program Committee: Phelim Boyle, Professor of Accounting University of Waterloo, Waterloo, Ontario Mark Broadie, Associate Professor of Finance Graduate School of Business Columbia University, New York, NY Jan Dash, Ph.D, Managing Director Smith Barney, New York, NY Stephen Figlewski, Professor of Finance New York University, New York, NY Roy S. Freedman, Ph.D, President Inductive Solutions, Inc, New York, NY Peter L. Hammer, Professor and Director RUTCOR-Rutgers University's Center for Operations Research, New Brunswick, NJ Jimmy E. Hilliard, Professor of Finance University of Georgia, Athens, GA John Hull, Professor of Management University of Toronto, Toronto, Ontario Yuval Lirov, Ph.D., Vice President Lehman Brothers, Inc, New York, NY David G. Luenberger, Professor of Electrical Engineering Stanford University, Stanford, CA John M. Mulvey, Professor and Director Engineering Management Systems Princeton University, Princeton, NJ Jason Z. Wei, Associate Professor of Finance University of Saskatchewan, Saskatoon Robert E. Whaley, Professor of Business Futures and Options Research Center Duke University, Durham, NC Publicity Chair Michael Wolf, General Manager Financial Products, The Mathworks, Inc., Natick, MA Electronic Publicity Chair Payman Arabshahi, Assistant Professor of Electrical Engineering University of Alabama in Huntsville, Huntsville Conference Liaison Scott Mathews, Senior Associate Marshall, Tucker, and Associates, Edmonds, WA Also please note the CIFEr homepage which can be accessed via the "NNC Sponsored Conferences" page of the IEEE Neural Networks Council homepage at http://www.ieee.org/nnc or directly at: http://www.ieee.org/nnc/conferences/cfp/cifer96.html If you know of mailing lists which might be interested in hearing from us, please let me know, and I will forward them up-to-date information on the conference over time. Best wishes and hopes for a successful gathering, Sincerely, -- Payman Arabshahi Tel : (205) 895-6380 Dept. of Electrical & Computer Eng. Fax : (205) 895-6803 University of Alabama in Huntsville payman@ebs330.eb.uah.edu Huntsville, AL 35899 http://www.eb.uah.edu/ece/ >~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~