[Apologies if you receive this more than once]
!!! NOTE: The Conference Date Changed to December 9-12, 2002 !!!
-
ICDM '02: The 2002 IEEE International Conference on Data Mining
Sponsored by the IEEE Com
CCSU Launches Online Master of Science in Data Mining
Central Connecticut State University (CCSU) announces the launching of
an online Master of Science program in Data Mining, the first such
program to be offered online.
Data mining is the search for interesting patterns and trends in large
Short course: Statistical learning and data mining
Trevor Hastie and Robert Tibshirani, Stanford Univ.
Sheraton Hotel
Palo Alto, Ca., Feb 28- Mar 1, 2002
This two-day course gives a detailed overview of statistical
models for data mining, inference and prediction.
With the rapid
[Apologies if you receive this more than once]
IEEE Data Mining 2001: Final Call for Participation
===
The 2001 IEEE International Conference on Data Mining
Doubletree Hotel, San Jose, California, USA
November 29 - December 2, 2001
On-line
CCSU Launches Online Master of Science in Data Mining
Central Connecticut State University (CCSU) announces the launching of
an online Master of Science program in Data Mining, the first such
program to be offered online.
Data mining is the search for interesting patterns and trends in large
I thought readers of sci.stat.edu might be interested in this book. For
more information please visit http://mitpress.mit.edu/026208290X
Principles of Data Mining
David J. Hand, Heikki Mannila, and Padhraic Smyth
The growing interest in data mining is motivated by a common problem
across
[Apologies if you receive this more than once]
-
ICDM '02: The 2002 IEEE International Conference on Data Mining
Sponsored by the IEEE Computer So
[Apologies if you receive this more than once]
IEEE Data Mining 2001: Call for Participation
=
The 2001 IEEE International Conference on Data Mining
Doubletree Hotel, San Jose, California, USA
November 29 - December 2, 2001
* On-line registration
[Apologies if you receive this more than once]
IEEE Data Mining 2001: Call for Participation
=
The 2001 IEEE International Conference on Data Mining
Doubletree Hotel, San Jose, California, USA
November 29 - December 2, 2001
On-line registration (and
T.S. Lim wrote:
> I'm attempting to compile an online list of the fundamental differences
> between our field Statistics and Data Mining. Several online references
> that touch on the topic include
>
>http://www-stat.stanford.edu/~jhf/ftp/dm-stat.ps
>ht
Here are two other sources that may be relevant:
"Putting Data Minig in its Place" by D. Pyle
(used to be at http://www.vldb.com/articles/Pyle/pyle.html; can't access it
at the moment)
"Data Mining from a Statistical Perspective" by J. Maindonald
(http://wwwm
In article <8v087k$tm5$[EMAIL PROTECTED]>,
T.S. Lim <[EMAIL PROTECTED]> wrote:
> I'm attempting to compile an online list of the fundamental
differences
> between our field Statistics and Data Mining. Several online
references
> that touch on the topic
>> I'm attempting to compile an online list of the fundamental differences
>> between our field Statistics and Data Mining. Several online references
>> that touch on the topic include
It's very simple. Data Mining is everything they
taught you _not_ do
to this is neural
networks, but I believe that good neural networks use also statistics.
Francois.
"T.S. Lim" wrote:
> I'm attempting to compile an online list of the fundamental differences
> between our field Statistics and Data Mining. Several online references
>
I'm attempting to compile an online list of the fundamental differences
between our field Statistics and Data Mining. Several online references
that touch on the topic include
http://www-stat.stanford.edu/~jhf/ftp/dm-stat.ps
http://www.acm.org/sigkdd/explorations/issue1-1/contents.htm
In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (Kuldeep Kumar) wrote:
> Colleagues
> I am looking for some data base dealing with patient records for any
> disease preferably diabetes or cancer. This is basically for exercise
in
> statistical modelling to see which factors are significant and
Colleagues
I am looking for some data base dealing with patient records for any
disease preferably diabetes or cancer. This is basically for exercise in
statistical modelling to see which factors are significant and to classify
whether the patient has the disease or not. Any other data base whe
In article <[EMAIL PROTECTED]>,
[EMAIL PROTECTED] (Richard M. Barton) wrote:
> I have been trying to search for reviews of data mining software
(e.g.,
> MineSet, Clementine) with little success. In the past, some of you
have had
> recommendations/advice about stat packages;
for reviews of data mining software (e.g.,
>MineSet, Clementine) with little success. In the past, some of you have
>had recommendations/advice about stat packages; I wonder if you might
>share your views on data mining: Specifically,
>
>1) Any feelings (+ or -) on data mining in
I have been trying to search for reviews of data mining software (e.g., MineSet, Clementine) with little success. In the past, some of you have had recommendations/advice about stat packages; I wonder if you might share your views on data mining: Specifically,
1) Any feelings (+ or -) on data
[Apologies if you receive this more than once]
--
ICDM '01: The 2001 IEEE International Conference on Data Mining
Sponsored by the IEEE Computer So
,
>
> It amazes me to read the self-righteous judgements of people on this
> thread.. a number of whom have made incompetent criticisms of corresponding
> correlations with the same arrogance and stupidity that they attribute to
> the data mining boys, When the purpose becomes making m
Bloomington, IN May 2, 2000. -- Megaputer Intelligence Inc. today
announced the release of PolyAnalyst 4.1, a next version of the leading
data mining system featuring the support for an innovative SQL-based
protocol, OLE DB for Data Mining. The new system also implements a powerful
Data
William Chambers wrote:
"It amazes me to read the self-righteous judgements of people on this thread.. a
number of whom have made incompetent criticisms of corresponding correlations
with the same arrogance and stupidity that they attribute to the data mining
boys, ..."
As one of
"Data Mining" is a loosely and vaguely defined term that refers to things that
people do to understand and explore data. It means different things when used
by different people. It may mean one of the following:
1. Classical data analysis/statistical modeling such as linear regress
An example of specialized knowledge:
Last Friday, a colleague showed me how he was using a data mining program to cluster
over 1000 genes using 5 variables. After clustering, he used the program to generate
a pretty, spinnable 3-D plot of his data on 3 of the original variables. It had
Ellen,
It amazes me to read the self-righteous judgements of people on this
thread.. a number of whom have made incompetent criticisms of corresponding
correlations with the same arrogance and stupidity that they attribute to
the data mining boys, When the purpose becomes making money and not
Thanks, Ellen. Evocative quote, isn't it? It's that "without requiring
*any* (!) specialized knowledge" that will be the dangerous part, if read
too literally by the naive.
Interesting that you could get to Lim's URL at all. When _I _
tried it, several days ago, the system seemed t
ng for URLs for KDCentral.com, I encountered several
> > misleading statements about Statistics made by Data Mining people.
> > I've posted 3 of them to my bulletin board. If you encounter other
> > wrong remarks, I invite you to post them to the board too at
>
ough their data mining procedure, and see what it finds. The more
that it finds, the more the client becomes properly afraid of the technique
and respectful of the statistician's careful approach. -Frank Harrell
- End of forwarded message from Frank E Harrell Jr -
That's a ni
I'd like to make a somewhat related point. There are many educational
tools that I've found have a great effect on non-statisticians. One if these
is to take one of their datasets, randomly permute the column of Y-values,
go through their data mining procedure, and see what it finds.
- Forwarded message from Debasmit Mohanty -
I think, now is the time when we have to decide "Do we accept DATA MINING as
a part of statistics or do we keep neglecting this field as before".
I am sure there would be few statistics students like me who feel that Data
Mining is
I have been following the discussion on Data Mining blooper for a while.
Being a first year graduate student in statistics, my comments on this issue
might sound premature. Nevertheless, I would put forward my observations.
What I have learnt so far from my interaction with the statisticians
gt; From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED]]
> Sent: Friday, April 28, 2000 7:52 AM
> To: [EMAIL PROTECTED]
> Subject: Re: Data Mining blooper and Related Subjects
>
> ...And it extends even further. Many of us who toil in areas outside of
> academia have our wor
analytical software that will provide significant information, without
the bother of of formulating one of those fancy-shmancy hypotheses.
The higher-ups come to view data mining, decision support, outcomes
analysis, & etc. as requiring no more skill than the ability to use a PC.
I call it &q
are? And why you
> think they are misleading.
>
> T.S. Lim wrote in message
> [EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> > While hunting for URLs for KDCentral.com, I encountered several
> > misleading statements about Statistics made by Data Mining people.
>
Can you be more specific on what the misleading statements are? And why you
think they are misleading.
T.S. Lim wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> While hunting for URLs for KDCentral.com, I encountered several
> misleading statements about Statistic
At 07:57 AM 4/26/00 -0500, Herman Rubin wrote:
>It does not surprise me one bit. The typical statistics
>course teaches statistical methods and pronouncements, with
>no attempt to achieve understanding. snip of more
this is something i happen to agree with herman about ... but, it is a m
In article <002601bfaf29$cfbaa9a0$[EMAIL PROTECTED]>,
David A. Heiser <[EMAIL PROTECTED]> wrote:
>- Original Message -
>From: T.S. Lim
>To: <[EMAIL PROTECTED]>
>Sent: Tuesday, April 25, 2000 10:49 AM
>Subject: Data Mining blooper
>> Whil
- Original Message -
From: T.S. Lim
To: <[EMAIL PROTECTED]>
Sent: Tuesday, April 25, 2000 10:49 AM
Subject: Data Mining blooper
> While hunting for URLs for KDCentral.com, I encountered several
> misleading statements about Statistics made by Data Mining people.
> I
While hunting for URLs for KDCentral.com, I encountered several
misleading statements about Statistics made by Data Mining people.
I've posted 3 of them to my bulletin board. If you encounter other
wrong remarks, I invite you to post them to the board too at
http://www.recu
( how did we get to HERE, from Data Mining?)
On 15 Apr 2000 17:50:05 GMT, [EMAIL PROTECTED] (Radford Neal)
wrote:
> In article <[EMAIL PROTECTED]>,
> Rich Ulrich <[EMAIL PROTECTED]> wrote:
>
> >One thing that remains true about stock investment schemes: There ma
In article <[EMAIL PROTECTED]>,
Rich Ulrich <[EMAIL PROTECTED]> wrote:
>One thing that remains true about stock investment schemes: There may
>be some overall growth, somewhere, but in a specific, narrow
>perspective, the whole market makes up a zero-sum game. If someone
>wins, someone else ha
On 12 Apr 2000 15:21:21 -0700, [EMAIL PROTECTED] (Paul Bernhardt)
wrote:
> I suspect in this forum, almost as bad as the F-word or N-word are the
> DM-words... Data Mining... I agree, but wonder about criteria.
- since IBM started touting a product by that name, it is hard to
ignore t
Paul Bernhardt wrote:
> I am not affiliated with the Motley Fool (where this investment strategy
> is touted) nor am I advertising for them. It is just an interesting
> practical problem which raises a question I think many statiticians face,
> how to explain when someone has co
"T.S. Lim" wrote:
> Data Mining = Statistics reborn with a new name.
>
> You ask the wrong crowd. Go to
>
>http://www.kdcentral.com
>
> and subscribe to datamine-l mailing list.
That's debatable. The poster's question has as much to do with reg
Data Mining = Statistics reborn with a new name.
You ask the wrong crowd. Go to
http://www.kdcentral.com
and subscribe to datamine-l mailing list.
In article <[EMAIL PROTECTED]>, [EMAIL PROTECTED]
says...
>
>I suspect in this forum, almost as bad as the F-word or N-word
I suspect in this forum, almost as bad as the F-word or N-word are the
DM-words... Data Mining... I agree, but wonder about criteria.
Often in our various research domains we have no choice but to use
retrospective data. A classic example might be validating an investment
approach by
Hi Can anyone tell me how to research
what is the size of the total advertising budgets in the
developed countries.
Thanks
* Sent from AltaVista http://www.altavista.com Where you can also find related Web
Pages, Images, Audios, Videos, News, and Shopping. Smart is Beautiful
Could somebody help me with references on
data mining and spatial correlation?
THank you very much
===
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT
Athene Software, Inc.
Positions in Machine Learning, Statistics, and Data Mining
Athene Software, based in Boulder, Colorado, has immediate openings for
professionals in machine learning, statistics, and data mining. We are
seeking qualified candidates to develop and enhance models of
In article <86nrjb$ljd$[EMAIL PROTECTED]>, [EMAIL PROTECTED] says...
>
>Can anyone suggest a good textbook for a course in data mining? The
>students would graduate students in science and engineering with the
>typical background being one or two undergraduate courses in
a School of Medicine
http://hesweb1.med.virginia.edu/biostat
Brian Borchers wrote:
> Can anyone suggest a good textbook for a course in data mining? The
> students would graduate students in science and engineering with the
> typical background being one or two undergraduate cours
Can anyone suggest a good textbook for a course in data mining? The
students would graduate students in science and engineering with the
typical background being one or two undergraduate courses in
probability and statistics.
--
Brian Borchers [EMAIL PROTECTED
Megaputer Intelligence
www.megaputer.com
Megaputer announces the final release of PolyAnalyst 4.0, the newest version
of the leading data mining solution. The Megaputer development team extends
many thanks to numerous beta-testers who helped perfecting the system. An
evaluation copy of
55 matches
Mail list logo