ACM CIKM'98/Workshops/Tutorials Registration Form
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* Please let us know of your plan for the following events (please put
check mark):
________________________________________________________________________
| | WILL ATTEND | WILL NOT ATTEND |
|________________________________________|_____________|_________________|
|Nov. 3 CIKM Reception 6:00-8:00PM | | |
|----------------------------------------|-------------|-----------------|
|Nov. 4 CIKM Banquet 6:30-9:30PM | | |
|----------------------------------------|-------------|-----------------|
|Nov. 5 Workshop Reception (Workshop | | |
| attendees only) 6:30-8:00PM | | |
|________________________________________|_____________|_________________|
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* TUTORIALS: (for more info please see below/end of this form or visit tutorial
home page or contact Prof. I.Y. Song at songiy@dunx1.ocs.drexel.edu, Tutorial
Chair; http://www.pages.drexel.edu/faculty/songiy/CIKM98tut.html)
All Tutorials are Half-Day on Tuesday, Nov. 3, 1998 (Morning: 8AM-12NOON;
Afternoon: 1PM-5PM):
T1. Data Mining on Large Databases (Morning)
Rajeev Rastogi and Kyuseok Shim
T2. Models in Information Retrieval (Morning)
Fredric C. Gey
T4. Data Warehousing Design Techniques for ROLAP (Afternoon)
Il-Yeol Song
T5. Metadata Repositories: Enabling Information Asset Management (Afternoon)
Sandra Heiler and Gail Mitchell
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* WORKSHOPS: (One "Symposium" and four "workshops" are planned. For more info,
please visit CIKM home page below or contact Prof. Kia Makki at
kia@usl.edu, Workshop Coordinator)
W1: GIS'98 Symposium (TWO Days: Nov. 6-7, 1998) - Advances in Geographic
--------- Information Systems
(Program Chair: Robert Laurini; laurini@if.insa-lyon.fr)
W2: NPIVM'98 (TWO Days: Nov. 6-7, 1998) - New Paradigms in Information
Visualization and Manipulation
(Program Co-Chair: Charles Nicholas; Nicholas@cs.umbc.edu)
W3: WIDM'98 (ONE Day: Nov. 6, 1998) - Web Information and Data Management
(Program Chair: Fereidoon Sadri; sadri@uncg.edu)
W4: DOLAP'98 (ONE Day: Nov. 7, 1998) - ACM First International Workshop on
Data Warehousing and OLAP
(Program Co-Chair: Il-Yeol Song; song@drexel.edu)
(http://www.pages.drexel.edu/faculty/songiy/dolap.html)
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NOTES for authors:
At least one author PER ACCEPTED PAPER must advance register by August 17,
1998 for CIKM98 papers (or by the deadline set by the workshop program chairs
for workshop papers), or the paper will be excluded from the proceedings.
The proceedings will be published by ACM.
The maximum length is 8 pages per CIKM98 paper with a registration fee. Authors
can buy at most 4 extra pages at a cost of U.S. $150.00 per page (so total length
limit is 12 pages if you buy extra pages).
The maximum length is 4 pages (GIS98 is 6 pages) per WORKSHOP paper with a
registration fee. Authors can buy at most 2 extra pages at a cost of U.S.
$150.00 per page (so total length limit is 6 pages (8 pages for GIS98)if you
buy extra pages).
The Primary Author is responsible/liable for full registration fees for the
accepted paper and at least one author per paper (if not the primary author)
must register by above deadline (this fee will not be refunded at any case)
and must come to give presentation about the paper at the CIKM98 (or Workshops
as appropriate).
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* Send this registration form with payment (in US Dollars ONLY and make
checks or money order payable to "ACM-CIKM98") to:
CIKM/Workshops Treasurer
C/O Dr. EK Park
Computer Science Telecommunications
University of Missouri - Kansas City
4747 Troost Ave., Room 207
Kansas City, MO 64110 USA
(816)235-1497; (816)235-5159(fax); ekpark@cstp.umkc.edu
* The conference registration fee covers a copy of proceedings, conference
reception, refreshments during the conference, and the dinner banquet.
Additional reception and banquet tickets can be purchased. Each tutorial and
workshop registration fees are indicated above as well. Each Workshop reg.
fee covers a copy of proceedings, workshop reception and refreshments during
the workshop.
All payments must be in U.S. dollars. All checks or international money orders
from banks outside the United States should be cashable at a branch of that
bank in the United States or at any U.S. bank. If you send us check or
international money order, it should have complete "micro encoding line" at
the bottom of it (ask your bank about this). You can also send Traveler's check
of American Express or Visa or MasterCard (be sure that you sign each check and
make it payable to "ACM CIKM98" AND mail it via EXPRESS Carrier Service company
such as Federal Express, DHL, etc for insured delivery). We accept purchase
orders from U.S. organizations only and ONSITE RATE (higher rate !!) is applied
to each purchase order. You are responsible for paying fees to get the check or
money order from your bank AND any fees imposed on us from your bank to
issue/deliver your check to CIKM. Student rate attendees must have proper ID.
Please ASK your organization if they need TAX ID number for the reg. fee payment.
ACM is the sponsoring organization and so ACM's federal tax id will be provided
as necessary if it is requested by your organization for accounting purpose.
* CIKM98/Workshops/Tutorials will be held at:
Holiday Inn Bethesda (renamed to "Crown Plaza" soon)
8120 Wisconsin Avenue
Bethesda, Maryland 20814 USA
Phone: (301) 652-2000; 301-652-3806(fax)
Room Rate: $109.00. All room rates are net per room, per night, single/double/
triple/quad occupancy plus taxes for Nov. 2, 1998 through Nov. 7, 1998.
Individuals to make their own reservations by calling 1-800-HOLIDAY (465-4329)
and use the group code "CIK" to receive CIKM98 rate. Individuals are on their
own for payment of room, tax and any incidental charges. All reservations must
be made prior to the Cut-off date of October 3, 1998. After the cut-off date,
reservations will be accommodated based on rate(s) and rooms available. All
reservations must be guaranteed for late arrival by a valid credit card or an
advance deposit of one night's room and tax. Check-in time is 4:00PM.
Acknowledgement of receipt of the registration form with payment will be
sent out by e-mail only if you provide your e-mail address. Conference
registration materials including receipts and proceedings can be picked up
only at the registration desk on site (there will be extra handling/shipping
/mailing charges of $200.00 if it needs to be mailed to any paid registrants
with "no show").
* Refund Policy: Paid registrants who cannot attend, and do not send a
substitute, are entitled to a refund of paid fees (less a US$200.00
processing fee) if a request is received in writing on or before September 30,
1998. Registrants are liable for their full fees after that date (i.e.,
NO Refund will be made !!). All no-show registrations will be billed in full.
* If you have any questions contact appropriate person:
on registrations: Dr. Park: ekpark@cstp.umkc.edu;
on technical programs: Program Chairs; Prof. French at french@cs.virginia.edu
or Prof. Gardarin at georges.gardarin@prism.uvsq.fr);
on other conference related matters: General Chairs; Dr. Charles Nicholas at
nicholas@cs.umbc.edu; or Dr. Niki Pissinou at
pissinou@cacs.usl.edu.
* Please visit our WWW site for up-to-date CIKM98 program information and
related activities: http://www.cs.umbc.edu/cikm/1998
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Detailed Tutorial Information:
T1. Data Mining on Large Databases (Morning, Nov. 3, 1998)
by Rajeev Rastogi and Kyuseok Shim
Bell Laboratories
Tutorial Outline
Following topics will be discussed during the tutorial.
1. Introduction:
Brief overview and discussion on data mining techniques developed
for large databases.
2. Association Rules:
Presents the association rules, optimized association rules and
correlations.
3. Classification:
Describes the state of the art classifiers for large databases. These
include PUBLIC, Rain-Forest, SLIQ and SPRINT algorithms.
Break : (15 minutes)
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4. Clustering:
Illustrates the characteristics of traditional clustering algorithms
and present techniques developed for large databases. We cover
CLARANS, BIRCH, CURE and ROCK algorithms.
5. Similar Time Sequences:
Illustrates the existing techniques developed for similar time
sequences.
6. Other Applications and Future Research:
Discusses other interesting problems and research issues
Biography of Speaker :
----------------------
(1) Rajeev Rastogi
Rastogi Rastogi received the B. Tech degree in Computer Science from the
Indian Institute of Technology, Bombay in 1988, and the masters and Ph.D.
degrees in Computer Science from the University of Texas, Austin, in 1990
and 1993, respectively. He joined Bell Laboratories in Murray Hill, New
Jersey, in 1993 and is currently a member of technical staff (MTS) in the
Information Sciences Research Center.
Rajeev Rastogi is active in the field of databases and has served as a
program committee member for several conferences in the area.
His writings have appeared in a number of ACM and IEEE publications and
other professional conferences and journals. His research interests
include database systems, storage systems and knowledge discovery. His
most recent research has focused on the areas of high-performance
transaction systems, continuous-media storage servers, tertiary storage
systems, data mining, and multidatabase transaction management.
(2) Kyuseok Shim
----------------
Kyuseok Shim is currently a member of technical staff (MTS) in the
Database Systems Research Department of Bell Laboratories. Before that,
he worked for Rakesh Agrawal's Quest Data Mining project at IBM Almaden
Research Center. He also worked as a summer intern for two summers at
Hewlett Packard Laboratories. He received B.S. degree in Electrical
Engineering from Seoul National University, and the MS and Ph.D. degrees
in Computer Science from University of Maryland, College Park.
Kyuseok Shim has been working in the area of databases focusing on data
mining, query processing and query optimization, constraint-based database
systems and dataware housing. He has published several research papers in
prestigious database conferences and journals. He has also served as a
program committee member on database and knowledge discovery conferences.
T2. MODELS IN INFORMATION RETRIEVAL (Morning, Nov. 3, 1998)
by Fredric C. Gey Ph.D
University of California-Berkeley
COURSE DESCRIPTION:
Information retrieval algorithms have emerged as the key to
effective search of large collections of unstructured text
such as found on the Internet. Vector space algorithms are
used by Lycos and AltaVista, while Inktome uses a probabilistic
document retrieval algorithms.
The three major theoretical models in information retrieval=20
are Boolean/logic, vector space, and probabilistic. This tutorial=20
will explain the unique characteristics and problems of each
model and how each model has evolved along different lines.
Modern variants of the basic models are explained.
The attendees of this tutorial will obtain a basic understanding=20
of the major theoretical models upon which modern text retrieval =20
software is based. The tutorial should provide each participant=20
with a starting point for further self-education.
1/2 hour Background and historical development
Luhn and statistical text characteristics
Statistical weights and the IDF concept
1 hour Boolean set and logic models
Fuzzy logic (RUBRIC/TOPIC)
Weighted boolean and P-Norm (INQUERY)
Recent logic models
1 hour Vector space and geometric models
Basic vector similarity measures
Generalized vector space model
Latent Semantic Indexing
Pivoted normalization similarity
1 hour Probabilistic models
Probabilistic indexing and querying
2- Poisson and OKAPI
Relevance weights and relevance feedback
Inference nets and neural network approaches
Regression models
1/2hour Performance measurement and analysis=20
Recall, precision, fallout measures
Limitations to performance assessment --
interjudge consistency, completeness
Statistical significance tests
Materials: 110 Course overheads, and a 40 page survey article
"Models in Information Retrieval" will be
provided
WHO SHOULD ATTEND: This course is designed to provide a
fast-paced yet rigorous introduction to the basic models of
Information Retrieval for academic and industrial research and
development computer scientists whose background lies outside
the Information Retrieval area.
ABOUT THE INSTRUCTOR: Fredric Gey's research specializes in
in probabilistic document retrieval using logistic regression
techniques. He is principal investigator of NSF grant IRI 9630765
Probabilistic Retrieval of Full-Text Document Collections Using
Logistic Regression. He is Co-principal Investigator for the ARPA
research contract "Search Support for Unfamiliar Metadata Vocabularies,"
July 1997-June 2000. He directs the UC Berkeley entries to the TREC
conferences, and is designated as General Chairman for
SIGIR99 to be held at the University of California, Berkeley
during the summer of 1999. He holds a PhD in Information
Science from UC Berkeley.
T4. Data Warehousing Design Techniques for ROLAP (Afternoon, Nov. 3, 1998)
by Il-Yeol Song
Drexel University
Level : Beginning to Intermediate.
Intended Audience : Professionals who are working or thinking for data
warehousing based on relational database systems.
Tutorial Abstract :
A data warehouse is an integrated data repository containing historical
data of a corporate for supporting decision-making processes. Recently,
data warehouses became the focus of corporate information management with
the most advanced database technology. The basic strategy for accessing
individual and aggregate data in a data warehouse using relational
databases is known as ROLAP (Relational OLAP). This tutorial presents
technology overview for the development of data warehousing. It compares
ROLAP and MOLAP (Multidimensional OLAP) then discusses techniques for
designing star schema. We will look at the multiple variations of the star
schema that exist and the differences in the properties of these different
schema. It also discusses the techniques for optimizing the performance of
data warehouse systems based on relational database systems. Specifically,
the discussion includes storage, parallel processing technology, indexing
technology, including bit map indexes, join indexes, multi-table join
indexes, indexing strategies, query optimization based on star schema, and
partitioning techniques. It concludes with the survey of commercial
markets, tools, trends, research issues and challenges.
Biography of Speaker :
Il-Yeol Song is an associate professor in the College of Information
Science and Technology at Drexel University, Philadelphia, PA. He
received his M.S. and Ph.D degrees in Computer Science from Louisiana State
University in 1984 and 1988, respectively. His current research areas
include database modeling and design, data warehousing, object-oriented
database systems, and object-oriented analysis and design. He has
published over 60 refereed technical articles in various journals,
international conferences, and books. In 1992, he received an exemplary
teaching award as well as a research scholar award from Drexel University.
He has won eight Sigma Xi research awards from the Drexel Sigma Xi
scientific research competition. He has worked as a program committee
member for over twenty five international conferences and workshops. He
was the guest editor for a 1995 special issue of Journal of Computer and
Software Engineering entitled "Methodologies and Tools for Intelligent
Information Systems." He will be the guest editor for a special issue of
Journal of Computer Science and Information Management entitled
"Applications and Technologies for Next Generation Database Systems,"
scheduled for Fall 1998. He is the program co-chair of First ACM Int'l
Workshop on Data Warehousing and OLAP (DOLAP that will be held with CIKM98
in November 7, D.C.
T5. Metadata Repositories: Enabling Information Asset Management
by Sandra Heiler and Gail Mitchell (Afternoon, Nov. 3, 1998)
GTE Laboratories, Inc.
Metadata repositories have long been used by software engineering tools to
store and manage descriptions of system components, and by data
administrators to document information stores. More recently, they are
being used to support the integration of various tools, databases, and
applications, and their use is being expanded to manage metadata for many
more kinds of applications, including data warehousing. In this half-day
tutorial, we present an industrial perspective on repository technology and
its uses in managing an enterprise's information assets.
The tutorial starts with a description of repository technology. It
examines requirements for managing metadata and describes how these are met
by the technology. In particular, we discuss repository architectures,
integration mechanisms, repository metamodels, and associated tools for
populating, accessing, maintaining, and administering the repository. We
identify various implementation strategies for repositories, and look at
the state-of-the-art in repository products.
The second part of the tutorial examines the use of repositories. We begin
with a discussion of issues in populating a repository and in implementing
applications using repositories. We then describe a number of applications
of repository technology, including software lifecycle support, production
planning and management, and decision support systems and data warehousing.
Finally, we look at how the repositories supporting these applications
combine to provide for enterprise-wide information asset management, and we
identify research issues in moving to this broader use.
Repository Technology:
Metadata and Metadata Management:
Motivation for the use of metadata to document business models (data,
processes, systems, relationships) and the management requirements for this
type of documentation.
What is a Repository?:
Description of the basic functionality expected of a metadata repository.
Integration and Relationships:
Three perspectives of integration: 1) data integration through shared
models, 2) tightness of integration of repository system with other tools
and applications, 3) breadth of applications/tools that are integrated by a
repository.
Background and Requirements:
Database data dictionaries, CASE tool repositories, data warehouses, etc.
all manage metadata for their particular application. General look at the
requirements for managing metadata (configuration control, views,
versioning, long-running transactions,...).
Repository Architecture:
Components of a repository system. How these components work together, and
work with outside applications and tools.
Implementation Issues:
Some of the issues addressed: in what ways are repository databases
implemented...commercial DBMSs? specialized data stores? What makes a
repository portable? Should there be one centralized database, or a
federation of repositories? etc.
Implementing Applications:
How does data get into the repository? How is it accessed? What are some
of the administrative functions that need to be done to maintain a
repository? etc.
State of the art:
Product overview: What is available in the products? What don't the
products have today? What directions are vendors taking?
Repository Applications
Data Integration:
How heterogeneous database systems use repositories to integrate data. DDL
in the repository. Schema evolution. Capturing semantics in metadata.
Data Analysis, Decision Support and Data Warehouses:
Information captured in the repository for warehouse data derivation,
analysis, maintenance, and interpretation.
Software Lifecycle:
Use of repository and CASE tools in design, development, testing, tuning,
reuse, maintenance.
Production planning and management:
Simulation models and production statistics/logs managed in repository.
Legacy System Migration:
Collect legacy system documentation (code and data) in a repository and
store relationships to new systems for determining retirement (partial or
complete) eligibility.
Maintaining Enterprise Knowledge:
Expanding the application of repositories to track relationships across
heterogeneous repositories; integrating metadata and metadata managers.
Summary and Conclusions:
Standards and Ontologies
Research Issues
Sandra Heiler is the Principal Investigator of the Data and Database
Research project at GTE Laboratories, where her research focuses on the use
of metadata repositories to support enterprise-wide management of
information and software components. In particular, her work is directed
to the use of metadata and repository technology to integrate distributed,
heterogeneous systems and databases, and to support data warehousing. She
is also involved in the application of this technology to legacy system
migration and data archiving in a large SAP rollout. Ms. Heiler's earlier
work at GTE Laboratories was with the Distributed Object Management
Department, where she did research on object model integration and
interoperability frameworks, and on object views and identifiers. She
joined GTE from CCA and Xerox Advanced Information Technology, where she
developed object models and object management systems for VLSI and software
engineering environments, as well as transaction models to support
cooperative work in those environments.
Ms. Heiler has more than 35 years of experience in database research and
development and in applications of database and metadata technology. Her
previous work includes developing data management systems for statistical
databases and Decision Support Systems, and for managing other specialized
data types, including engineering, statistical, and bibliographic data.
She has authored papers and presented tutorials on object models and object
views, semantic interoperability, integration frameworks, and
object-oriented systems. Her current research interests include the use
of metadata to capture data semantics and to support data warehousing.
Gail Mitchell is a Principal Member of the Technical Staff at GTE
Laboratories where she works on problems in integrating enterprise
information. Current research interests include querying in heterogeneous
systems (including over the web), data warehousing, and data integration.
Recent activities focus on metadata repository technology to support legacy
system migration and information integration.
Dr. Mitchell received her PhD from Brown University for her research on
extensible query optimization for object-oriented database systems. She
has authored a number of papers in the areas of object query languages,
extensible query processing, and distributed object management, and has
taught courses, workshops and tutorials on these topics at such venues as
OOPSLA, MIT, OGI, DEC, and NATO ASI. She is active on program committees,
more recently SIGMOD, VLDB and CIKM, and was editor of a TAPOS issue on
Distributed Object Systems and co-editor of the book Persistent Object
Bases.
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