|
|
Next Issue
|
News:
(item1) Gregory Piatetsky-Shapiro, Industry Briefs: Magnify and {SAS;} Angoss
(item2) Eric Apps, ANGOSS Rankles SAS (Reprise)
(item3) Zemankova, Maria, DOE establishes test bed for storage-intensive
applications
Requests:
(item4) Jiang Rong, time series benchmark databases and time series prediction
Publications:
(item5) Fionn Murtagh, Clustering and Classification Bibliographies -
and now Software
(item6) Ronny Kohavi, Talk on Crossing the Chasm
(item7) Gregory Piatetsky-Shapiro, Private Data as a Hard Good /IW Sep 1, 1999
(item8) Vitaly Schetinin, Correction: Papers on Self-organizing Data Mining
Jobs:
(item9) Paul Edelman, Boston, MA: Strategy Consultant, Pre-IPO CRM Software Firm
(item10) Paul Edelman, Boston, MA: Data Mining Consultant, Pre-IPO CRM Software Firm
(item11) Simon Riggs, UK: Business Data Researcher/Data Miner(s) at OpenMind
(item12) Jerel Cain, San Francisco, CA: Data Mining Specialist at Doughnet
(item13) Ishwar K. Sethi, Oakland University, Position in Knowledge Discovery
(item14) Thomas G. Dietterich, Jobs at Oregon State University
Software:
(item15) Jonathan Bogen, New Online Portal for Healthcare Information Systems,
Business Intelligence, E-health
(item16) Eibe Frank, WEKA: GPL Java software and Data Mining book
Courses:
(item17) Phil Frank, Wharton School's {Data Mining for Profitability}
Philadelphia, PA; December 12-15, 1999
(item18) Rob Tibshirani, Modern Regression and Classification
San Diego, CA; Jan 31-Feb 1, 2000
(item19) Joachim Diederich, Explorations in Data Mining for Computational Finance
Muenster, Germany; 18 December 1999
(item20) Kerry Martin, CART and MARS Seminars,
Sydney, Australia; Nov 29-Dec 2, 1999
CFP:
(item21) Wei-Guang Teng, International Workshop of Knowledge Discovery,
Taipei, Taiwan, ROC; April 10-13, 2000
(item22) Foster Provost, REMINDER: E-Commerce and Data Mining special issue
(item23) Seth Rogers, ICML 2000, Stanford University, CA
June 29-July 2, 2000
(item24) James Cussens, ILP 2000, London, UK
July 24-28, 2000
(item25) A. Feelders, AIX workshop on Data Mining,
Aix en Provence, France; May 4-6, 2000.
KDnuggets(tm) News is an electronic newsletter focusing on the
latest news, publications, tools, jobs, courses, meetings, and other
relevant items in the Data Mining and Knowledge Discovery
field. KDnuggets News reaches over 7500 readers in 80+ countries
twice a month.
Items relevant to data mining and knowledge discovery are welcome
and should be emailed to editor in ASCII text or HTML format.
An item should have a subject line which clearly describes
what is it about to KDnuggets readers.
Please keep calls for papers and meeting announcements
short (50 lines or less of up to 80-characters), and provide a web site for
details, such as papers submission guidelines.
All items may be edited for size.
To subscribe, see http://www.kdnuggets.com/subscribe.html
Back issues of KDnuggets News, a catalog of data mining software,
pointers to data mining companies, jobs, courses, websites,
meetings, and more are available at KDnuggets Directory at
http://www.kdnuggets.com/
-- Gregory Piatetsky-Shapiro
editor
********************* Official disclaimer ***************************
All opinions expressed herein are those of the contributors and not
necessarily of their respective employers (or of KDnuggets)
*********************************************************************
~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
We have a habit in writing articles published in scientific journals
to make the work as finished as possible, to cover up all the tracks,
to not worry about the blind alleys or describe how you had the wrong
idea at first, and so on. So there isn't any place to publish, in a
dignified manner, what you actually did in order to get to do the
work. - Richard Feynman
(thanks to http://www.animenetwork.com/sillystuff/quotes2.html)
Copyright © 1999 KDnuggets