(text)
Annie Wu, CFP: GECCO-99 Workshops, Orlando, FL, July 14-17, 1999 http://www.aic.nrl.navy.mil/~aswu/gecco99
--
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~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Patterns often emerge before the reasons for them
become apparent
Vasant Dhar, KDD-98 Invited Talk Previous1NextTop
Date: Thu, 10 Sep 1998
From: Gregory Piatetsky-Shapiro gps
Subject: NPR Morning Edition story on Data Mining
Web: http://www.npr.org/ramfiles/me/19980910.me.13.ram
NPR's Sep 10, 1998 Morning Edition featured a story on Ivan Amato on data
mining, with quotes from Robert Grossman, Usama Fayyad, and Padhraic Smyth.
ACM Special Interest Group on Knowledge Discovery in Data (SIGKDD) is
the first professional organization of researchers, application
developers, and others interest in the field of KDD.
The technical scope of SIGKDD will encompass research, development, and use
of the methodology, software, hardware, and networked computer
organization for the process and algorithms for knowledge discovery from
all types of machine-readable sources of data.
ACM has just chartered a new special interest group named SIGKDD
(Knowledge Discovery in Data). The formation of SIGKDD has also been
fully endorsed by the Steering Committee of the International
Conference on Knowledge Discovery in Data and Data Mining (the KDD
Conference), and by the editors of the KDNuggets electronic
newsletter.
The mission of SIGKDD is to help promote rapid maturation of the field
of knowledge discovery in data and data mining as a key element of the
corporate information technology infrastructure. To achieve this
mission, SIGKDD will provide a focal point for the exchange,
debate,and dissemination of new ideas by the researchers, developers,
and users of technology for discovering knowledge in data and data
mining. The technology consists of methodologies, software, hardware,
and networked computer organizations for discovering usable knowledge
and intelligence from large amounts of raw data stored in files,
databases, and data warehouses/marts.
SIGKDD will sponsor an annual international conference, by carrying
out the tradition established by the KDD workshops and conferences
from 1989 to 1998.
SIGKDD will publish a quarterly newsletter that will include short
technical articles and news items of interest to the field. SIGKDD
will establish a Standards Committee to play a key role in shaping
various standards, such as database access primitives and language,
meta data model, data mining process, etc. SIGKDD will also create
annual Innovations Award and Services Award to recognize major
contributors to the field.
SIGKDD is a truly interdisciplinary SIG, since its field is an
interdisciplinary one, including machine learning, database systems,
statistics, optimization theory, visualization, parallel processing,
etc. As such, SIGKDD plans to collaborate with several other
professional societies and conference endowments in overlapped fields,
including ACM SIGMOD, VLDB, ACM SIGART, AAAI, ASA, ISC, and CIKM.
The KDD-99 International Conference will take place on August 15-18, 1999
in San Diego, California (see http://research.microsoft.com/datamine/kdd99/
Usama Fayyad is the General Chair. David Madigan
and Surajit Chaudhuri are co-Chairs of the Program Committee.
The SIGKDD Executive Committee includes
Won Kim (Chair, won.kim@cyberdb.com),
Usama Fayyad, Gregory Piatetsky-Shapiro, Daryl Pregibon, Padhraic Smyth
(all Directors), and Rakesh Agrawal (Secretary/Treasurer). Usama Fayyad (fayyad@microsoft.com)
is the Newsletter Editor.
This is to announce that ILPnet2, the Network of Excellence on
Inductive Logic Programming (ILP) funded for 3 years by the European
Commission under contract INCO 977102, has officially started 1st
September 1998. ILPnet2 is the successor of ILPnet (1993-6), which was
coordinated by Nada Lavrac (Jozef Stefan Institute, Ljubljana). The
coordinators of ILPnet2 are Peter Flach (administrative coordinator,
University of Bristol) and Saso Dzeroski (scientific coordinator, Jozef
Stefan Institute).
ILPnet2 is a Network of Excellence consisting of over 20 universities and
research institutes. In addition the network actively pursues industrial
relations through its End-user-club, consisting of companies and other
non-academic institutions interested in practical applications of ILP.
The mission of ILPnet2 is defined by the following long-term objectives:
* To co-ordinate ILP research among the nodes of the network.
* To promote the co-operation and exchange of research results among the
network nodes.
* To disseminate information on ILP research and applications to the
outside world, including both academic and industrial/non-academic
institutions.
* To facilitate the transfer of ILP research results to practice.
* To support the establishment of the infrastructure necessary for
achieving the above objectives.
More information is available from the ILPnet2 homepage at
Please bookmark this page, as it will develop into a useful collection
of ILP-related resources. As an example of such a resource you may want
to check out the ILPnet2 library, which is an on-line collection of
ILP-related bibliographic references. Further planned resources include
archives of ILP datasets and systems, technical reports and thesis
abstracts, and educational material, focusing on interactively
accessible material. We will also soon resume the distribution of the
ILP newsletter.
The first ILPnet2 activities take place as part of the International
Summerschool on Knowledge Discovery in Databases and Datamining, 28
September - 4 October 1998, Caminha, Portugal ( see http://www.di.fct.unl.pt/eaia98/
). There will be an ILP & KDD seminar,
and a meeting of the end-user-club in the form of a problem
presentation workshop, where end-users will present their problem
domains and discuss them with ILP experts.
Special Issue on: 'Integration of Data Mining with Database Technology'
Guest editor: Surajit Chaudhuri, Microsoft Research (surajitc@microsoft.com)
*** CALL FOR PAPERS ****
Data Mining and Knowledge Discovery has become an active area of
research, attracting people from several disciplines including:
database systems, statistics, information retrieval, pattern
recognition, AI/machine learning, and data visualization. Data mining
products and toolkits are now commercially available, and industrial
applications are being developed.
Rather than focusing on advances in data analysis techniques or
details of data mining algorithms, in this special issue, we have
chosen a to emphasize a different focus. We believe that for data
mining to be widely deployed and to become an important part of data
warehousing framework, it is important to address the issue of how
data mining can be integrated with the relational database systems and
data warehousing components. While scalability of data mining is one
aspect of such integration, there are a number of issues that need to
be addressed as well. Several papers in the ACM SIGMOD-98 conference
as well as the post-confeernce workshop on Data Mining have addressed
this important topic. We encourage authors of these papers to submit
their contribution to this special issue. Major topics of interest
include but are not limited to:
Data mining system architectures
Efficiency and scalability in data mining
Support for data mining in database engines
Languages and interfaces for data mining
Integration of data mining, data warehousing, and OLAP
Data mining toolkits and methodologies
Performance benchmarks
Experience in building and deploying data mining applications
New application challenges and requirements
Inadequacy of current data mining techniques and software
SUBMISSION INSTRUCTIONS: Please send 5 hardcopies of your manuscript to:
Data Mining and Knowledge Discovery
Special issue - S. Chaudhuri (Ed.)
Journal Editorial Office
Kluwer Academic Publishers
101 Philip Drive, Norwell, Ma. 02061
it may be interesting to KDnuggets readers
to find out more about the original author of Occam Razor. GPS]
From Edupage:
HONORARY SUBSCRIBER Today's Honorary Subscriber is William of Ockham
(c.1300-1349), the English philosopher, theologian, logician, political
writer and Franciscan monk whose name is honored in the principle called
'Ockham's razor' (also called the principle of parsimony), which states that
'Entities shall not be multiplied beyond necessity' and means that in
scientific proofs you should always search for the simplest hypothesis and
never make more assumptions than you absolutely need. Get out your Ockham's
razor and cut, cut, cut.
Is the principle always valid? The philosopher A.R. Lacey says:
'Adoption of this principle, though seemingly obvious, leads to problems
about the role of simplicity in science, especially when we are choosing
between hypotheses that are not (or are not known to be) equivalent. There
are often different and clashing criteria for what is the simplest
hypothesis, and it is not clear whether a simpler hypothesis is pro tanto
more likely to be true; and if not, what justification other than laziness
there is for adopting it.'
Because of his controversial views, Ockham (the name is sometimes
spelled Occam) never completed his undergraduate degree at Oxford. Pope
John XXII summoned him to Avignon to answer charges of heresy and to defend
the Franciscan preference for living in poverty. Ockham fled to Bavaria,
was excommunicated, and wrote political documents disputing papal claims to
have civil authority.
Knowledge and Information Systems: An International Journal
-----------------------------------------------------------
ISSN 0219-1377
by Springer-Verlag
Notes (incl. Changes since Last Announcement):
----------------------------------------------
1. The Executive Editor Dr. Xindong Wu has moved to Colorado School
of Mines in the USA, and the journal's anonymous FTP site is now 'ftp://kais.mines.edu/pub/kais/incoming'
2. The journal publishes critical reviews and short papers on visions
and directions, as well as state-of-the-art research reports and
significant on-going research. Please take a look at the journal
home page for the instructions for authors.
3. We strongly encourage electronic submissions to expedite
processing, and Springer-Verlag will offer the journal in both
electronic as well as print form. The editors emphasize minimal
delay in processing and publication, and review papers quickly and
advise authors of their paper status with a target turnaround time
of 3 months from submission (4 to 6 weeks for short papers).
4. A subscription form and a list of accepted papers are also
available on the the journal home page.
Aims and Scope:
---------------
Knowledge and Information Systems (KAIS) provides an international
forum for researchers and professionals to share their knowledge and
report new advances on all topics related to knowledge systems and
advanced information systems. This quarterly peer-reviewed journal
publishes state-of-the-art research reports on emerging topics in
KAIS, reviews of important techniques in related areas, and
application papers of interest to a general readership.
The journal focuses on knowledge systems and advanced information
systems, including their theoretical foundations, infrastructure and
enabling technologies. We solicit submissions of original research,
and experience and vision papers that address this theme.
MRJ Technology Solutions, an information technology and engineering
services firm, is currently seeking 2 Data Mining Software
Engineers for analysis of large and complex datasets, which involves
handling and cleaning large datasets, modeling large datasets, data mining,
visualization and modeling. The data sets will come from both the
government and commercial communities.
We require a Masters degree in Computer Science or related field plus 3
years experience in data warehousing/mining. Must be eligible to obtain a
Security Clearance.
For more information on MRJ, please visit us on the web at:
Objective:
Help InsWeb develop a in-depth understanding of its consumer
site traffic activity and conduct analysis required to develop an
industry-leading perspective on consumer web-site behavior and its
implications for InsWeb's business model.
Primary Responsibilities:
Will work closely with executive team to formulate InsWeb's
overall site reporting and analysis plan. Serve as conduit for defining
the data mining needs for Executive Management, Consumer Marketing, and
Internet, Financial Services & Insurance Partnerships. Work closely
with technology team to define specific site-data reporting requirements
and formats. Serve as business-side liaison in ensuring timeliness,
accuracy, and value of internal reports generated
Conduct ongoing and ad-hoc data retrievals & statistical
analysis of site activity required to develop new insights into consumer
site behavior and partner performance. Work with key business managers
to identify how historical activity drives business performance and to
develop pro-forma scenarios for future business performance.
Skills Required:
* Relational database & SQL experience
* MS Access, MS SQL Server, Statistics Software
* Ability to interface with both business and technology sides of
InsWeb.
* Strong written and graphical presentation skills
* Strong quantitative/analytical skills.
* Strong project management discipline
* Strong Curiosity, with specific interest in understanding
consumer web activity
and its impact on an emerging electronic commerce model
Previous9NextTop
Date: Tue, 16 Sep 1998 12:01:13 -0400
From: Aviva Lev-Ari Aviva.Lev-Ari@Time-0.com
Subject: Employment Opportunity for an MSc or Ph.D. level
Industry has strond demand for applied recent graduates in
quantitative disciplines
I would like to explore the possibility of interviewing few of the
graduate students in the Stat/Math/OR/CS/Econometrics department.
Respectively, please ask the secretary of the Career Placement Center
to post an Ad, or e-mail to all graduate students in the above
departments, the following Job description.
Employment opportunity for a Stat/Math/OR/CS/Econ MSc or Ph.D. level.
Applied Research in Internet Economics and Electronic Commerce
Transaction Information Analytics and Data Mining
Profile:
Extremely bright, creative and inquisitive young broadly trained in
Quantitative Methods and Measurement Theory with an undergrade
education in Stat/Math/OR/CS/Econometrics/Psychometrics.
Modifyable into an independent applied researcher and heavy user of
S-Plus, SAS, Mathematica, MatLab, LaTex and graphical software.
Excellent writing (technical editorial skills) and oral communication
skills (ability to explain technical terms to non-technical
professionals). Independent in exploration of newly research concepts
assigned to, offer creative ideas to the project, and amenable to be
mentored and expand his/hers knowledge boundaries on a daily basis.
A team player, substantiated professional confidence, highest
integrity with handling data, choosing methods and respecting the
technical savvy of other peers and management.
Compensation:
Master Level: up to $45K - $60K
Ph.D. Level: up to $60K - $80K
Contact:
Aviva Lev-Ari, Ph.D.
Director of Information Analytics
Perot Systems Corp
101 Main St.
Cambridge, MA 02142
(617) 303-5011
POSTDOCTORAL RESEARCH ASSOCIATE POSITION
BIOINFORMATIC KNOWLEDGE DISCOVERY
The Bioinformatics and Biocomputation group of the Department of
Computer Science, University of Wales, Aberystwyth is a World leader
in the application of Knowledge Discovery techniques to scientific
problems in biology and chemistry. We have recently won a grant to
use Knowledge Discovery techniques to help analyse the flood of data
coming from new biological techniques which allow the complete
internal inventories of the working parts of cells to be examined.
The understanding of this data is the greatest open challenge to
biology.
In the our research we will use and develop techniques from: system
identification, inductive logic programming, machine learning, and
qualitative modelling. The developed methodology will be generally
applicable to other scientific and engineering problems.
The ideal candidate will have a background in machine learning,
qualitative modelling, or system identification, and an interest in
applying this to a key biological problem. The research will be done
in collaboration with Professor Steve Oliver (responsible for
sequencing the first chromosome) of UMIST, the Computing Laboratory of
the University of Oxford, and Glaxo Wellcome.
The appointment will be for a fixed term of three years on Grade 1A.
Application forms, and further particulars from Staffing Office, Old
College, King St., Aberystwyth, Ceredigion SY23 2AX, Wales, UK.
(tel. +44 1970-622055). See the Bioinformatics and Biocomputing
Group home page http://www.aber.ac.uk/~dcswww/Research/bio/
Informal enquiries to
Ross D. King on
Tel +44 1970-622432
Fax +44 1970-622455
Email rdk@aber.ac.uk
Previous11NextTop
Date: Fri, 4 Sep 1998 09:43:22 +0000
From: Daniel Silver dsilver@mgmt.dal.ca
Subject: Data Mining with Artificial Neural Networks course
** 3-Day Course - Data Mining with Artificial Neural Networks **
A practical course for business analysts, scientists,
and engineers on the use of artificial neural networks for prediction,
analysis, and the discovery of knowledge in data.
Objective: To provide a practical hands-on introduction to ANNs in the
context of knowledge discovery methodology and machine learning
theory. The course focuses on the most successful and widely
applied class of ANNs which utilize the 'back-propagation of error'
algorithm. Participants will learn how to design, train, and
validate neural network models while using commercially available PC
based software.
The course has been successfully delivered the last 2 years through
Dalhousie University, Halifax (reference: Mr. Rick Gardiner
902-420-7647) . We are looking for companies or associations in
the USA and Canada who understand the value in data mining and
are looking to train researhers and analysts. The venue can
be arranged by CogNova or brought on-site to the requesting
organization. Prices will vary accordingly.
FINAL CALL FOR PAPERS: PAKDD-99
The Third Pacific-Asia Conference on
Knowledge Discovery and Data Mining
-----------------------------------
Xiangshan Hotel, Beijing, China
===============================
April 26-28, 1999
Papers Due: October 10, 1998
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Invited Speakers:
Won Kim (Keynote Speech, Cyber Database Solutions, USA)
Hiroshi Motoda (Osaka University, Japan)
Tutorials:
'Automated Discovery: Combining AI, Statistics and Theory of Knowledge'
by Jan Zytkow (University of North Carolina, USA)
'Quality Data and Effective Mining'
by Hongjun Lu (Hong Kong Univ. of Science and Technology, China)
Panel Discussion
(Chair: Xindong Wu, Colorado School of Mines, USA)
Emerging Technology Speakers:
(in Special Session on Emerging KDD Technology)
Zdzislaw Pawlak (Polish Academy of Sciences, Poland)
Philip Yu (IBM T.J. Watson Research Center, USA)
T.Y. Lin (San Jose State University, USA)
Hiroshi Tsukimoto (Toshiba Sys. and Soft. Research Lab., Japan)
The Third Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD-99) will provide an international forum for the sharing
of original research results and practical development experiences
among researchers and application developers from different KDD
related areas such as machine learning, databases, statistics,
knowledge acquisition, data visualization, knowledge-based systems,
soft computing, and high performance computing. It will follow the
success of PAKDD-97 held in Singapore in 1997 and PAKDD-98 held in
Australia in 1998 by bringing together participants from universities,
industry and government.
*************** I m p o r t a n t D a t e s ***************
* 4 copies of full papers received by: October 10, 1998 *
* Acceptance notices: December 20, 1998 *
* Camera-readies due by: January 30, 1999 *
* Conference: April 26-28, 1999 *
*************************************************************
Call for Participation: Discovery Science 1998
The First International Conference on Discovery Science
Aqua Plaza Hotel Uminonakamichi, Fukuoka, Japan
December 14-16, 1998
Hiroshi Motoda
Program Chair of DS98
Division of Intelligent Systems Science,
The Institute of Scientific and Industrial Research,
Osaka University
8-1 Mihogaoka, Ibaraki, Osaka 567-0047
Japan
The Second International Conference on Practical Aspects
of Knowledge Management (PAKM98)
29-30 October, 1998
Basel, Switzerland http://research.swisslife.ch/pakm98.html
Supported by
SGAICO (Swiss Group for Artificial Intelligence and Cognitive Science)
and the
Special Interest Group 'Knowledge Engineering' of the German
Informatics Society
Sponsored by
Swiss Life and UBS
Invited talks:
Patricia Seemann (Group 21, Switzerland):
Building an Intellectual Capital Strategy at the Corporate Level
Matthias Jarke (Aachen University of Technology, Germany): <BR>
<BR>
Conference Programme is available at <A HREF=http://research.swisslife.ch/pakm98.html>http://research.swisslife.ch/pakm98.html</A>
<BR>
<BR>
For registration and further information see<BR>
<A HREF=http://research.swisslife.ch/pakm98.html>http://research.swisslife.ch/pakm98.html</A>
<BR>
<BR>
or contact<BR>
<BR>
Ulrich Reimer<BR>
Swiss Life<BR>
Information Systems Research Group<BR>
Postfach<BR>
CH-8022 Zurich, Switzerland<BR>
Email: <a href="mailto:Ulrich.Reimer@swisslife.ch">Ulrich.Reimer@swisslife.ch</a>
<BR>
<BR>
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Date: Fri, 11 Sep 1998 10:19:55 -0400<BR>
From: Annie Wu, <a href="mailto:aswu@AIC.NRL.Navy.Mil">aswu@AIC.NRL.Navy.Mil</a>
<BR>
Subject: CFP: GECCO-99 Workshops<BR>
<BR>
Call for proposals<BR>
Bird-of-a-feather Workshops<BR>
at the<BR>
1999 Genetic and Evolutionary Computation Conference (GECCO-99)<BR>
<BR>
Orlando, Florida, USA<BR>
July 14-17, 1999<BR>
<BR>
The GECCO-99 Program Committee would like to invite proposals<BR>
for Bird-of-a-feather workshops to be held during the 1999<BR>
Genetic and Evolutionary Computation Conference (GECCO-99).<BR>
<BR>
Workshops provide an opportunity for researchers to meet<BR>
and discuss topics with a selected focus in an informal and<BR>
interactive setting. Workshops are an excellent forum for<BR>
participants with common interests to explore new approaches,<BR>
critique existing approaches, and identify emerging areas of<BR>
interest in genetic and evolutionary computation (GEC). Members<BR>
of all segments of the GEC community are encouraged to submit<BR>
proposals.<BR>
<BR>
Individual workshops will be approximately two hours in length.<BR>
The format of the workshops will be determined by their organizers,<BR>
who are encouraged to leave ample time for general discussion.<BR>
<BR>
Workshop proposals should be submitted as soon as possible<BR>
and must be recieved no later than October 23, 1998.<BR>
**** Plain text e-mail submissions are preferred. ****<BR>
Organizers will be notified of the committee's decisions by<BR>
November 6, 1998.<BR>
<BR>
More information and details on workshop proposals<BR>
at <A HREF=http://www.aic.nrl.navy.mil/~aswu/gecco99>http://www.aic.nrl.navy.mil/~aswu/gecco99</A>
<BR>
<BR>
Please send proposals and inquiries regarding workshops to:<BR>
<BR>
Annie S. Wu<BR>
Naval Research Laboratory<BR>
Code 5514<BR>
Washington, DC 20375<BR>
202-404-4946<BR>
<a href="mailto:aswu@aic.nrl.navy.mil">aswu@aic.nrl.navy.mil</a>
<BR>
<BR>
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