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Tutorial Sessions
All
tutorials are free to registered conference attendees of
all conferences held at WOLDCOMP'08. Those who are
interested in attending one or more of the tutorials are
to sign up on site at the conference registration desk
in Las Vegas.
A
complete & current list of WORLDCOMP Tutorials
can be found
here.
Accepted Tutorial Sessions
In
addition to tutorials at other conferences, DMIN'08
provides a set of tutorials dedicated to Data Mining
topics. The 2007 key tutorial was given
by Prof. Eamonn
Keogh on Time Series Clustering. This year DMIN will
provide the following
tutorials:
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Tutorial A |
|
Organiser: |
Mikhail Golovnya -
Senior Scientist, Salford
Systems, USA |
 |
|
Topic: |
A Tour of Advanced
Data Mining Methodologies |
|
Webpage |
www.salford-systems.com |
|
Date & Time |
July 15, 2008, 6:00 - 9:30 PM |
|
Location |
Ballroom 1 |
|
Description |
Abstract
Mr. Mikhail Golovnya, Senior Scientist, will
discuss the classic CART (classification and
regression trees) technique, as well as advanced
data mining techniques recently developed by
Stanford University Professor Jerome Friedman
and University of California Professor Emeritus
Leo Breiman. Methodologies and real-world
applications will be presented for the following:
- CART, the
classic decision tree
- MARS (multivariate
adaptive regression splines), a flexible,
highly automated regression technique
- TreeNet and
RandomForests, which leverage the predictive
power of CART models by combining a large
number of trees together using either boosting
or bootstrap aggregation approaches.
Objectives
To provide an introduction to and overview of
Data Mining Analysis and to provide practical
examples to assist attendees in conducting their
own analyses.
Intended Audience
- Instructors
wishing to learn more about data mining so
they can include some coverage in their
classes;
- Applied
Statisticians wanting to learn new tools for
exploratory and non-parametric data analysis;
and,
- Researchers
who have previously worked with data mining
and have been mystified by earlier versions of
the documentation and output.
|
|
Short Bio |
Mikhail Golovnya
graduated from Kharkov State Polytechnic
University, Ukraine in 1995 with a Specialist
Engineering Degree in Flight Dynamics and Space
Shuttle Control. In 1996, he was a Research
Scholar in Econometrics and Finance at Saint
Norbert College, Wisconsin. Mr. Golovnya later
joined the Master of Science in Computation
Statistics program at the University of Central
Florida, Orlando from which he graduated with
honors in fall of 2000. Mr. Golovnya began his
work with Salford Systems in the summer of 1999.
As the Senior Scientist, he is primarily
responsible for data mining consultation
projects and works in model development and the
search for technological improvements to
Salford’s core products. He is also responsible
for advanced testing of CART, MARS, TreeNet,
PRIM, Random Forests, and prototyping of new
data mining algorithms and modeling automation.
Mr. Golovnya also leads training sessions in
CART, MARS, TreeNet, and Random Forests and
provides guidance and technical support to
Salford Systems’ data mining clients. |
|
Tutorial B |
|
Organiser: |
Ashu M.G. Solo |
 |
|
Topic: |
Fuzzy Logic - Theory and Applications in Data
Mining |
|
Date & Time |
July 14, 2008, 6:00 - 9:00 PM |
|
Location |
Titanium Room |
|
Description |
Objective This tutorial will provide a clear and rapid
description of fuzzy logic theory with example
applications mainly in data mining. In three
hours, this tutorial will give researchers and
developers with no knowledge of fuzzy logic
enough knowledge to apply fuzzy logic to their
applications.
Hard copies of
the tutorial presentation slides will be
provided to attendees of this tutorial.
Tutorial
Topics
1. Introduction to Intelligent Systems
2. Certainty and Precision
3. Uncertainty and Imprecision in Perception and
Cognition
4. Human Perception and Cognition
5. Fuzzy Logic for Uncertainty Management
6. Fuzzy Sets
7. Fuzzy Membership Functions
8. Linguistic Variables, Linguistic Qualifiers,
and Fuzzy Rules
9. Fuzzy Rules in Data Mining
10. Fuzzy Database Queries in Data Mining
11. Computational Theory of Perceptions and
Computing with Words
12. Computing with Words in Data Mining
13. Fuzzy Clustering for Data Mining
14. Fuzzy Rule Induction for Data Mining
15. Fuzzy Math
16. Fuzzy Systems
17. Development of a Fuzzy Knowledge-Based
System
18. Fuzzy Logic in Other Applications
Intended
Audience
This tutorial will be extremely useful for
many people involved in research and development
including computer scientists, engineers (computer,
electrical, mechanical, civil, chemical,
aerospace, agricultural, biomedical,
environmental, geological, industrial,
mechatronics), mathematicians, social scientists
(economics, management science, political
science, psychology), natural scientists (biology,
chemistry, earth science, physics), business
analysts, public policy analysts, jurists,
medical researchers, etc.
This tutorial
will be presented such that anybody with
knowledge of basic university math and computer
programming can understand it.
|
|
Short Bio |
Ashu M. G. Solo is
an electrical and computer engineer,
mathematician, writer, and entrepreneur. His
primary research interests are in new branches
of math, intelligent systems, public policy, and
the application of intelligent systems in
control systems, computer architecture, power
systems, optimization, pattern recognition, data
mining, decision making, and public policy. Solo
has about 100 publications in these and other
fields. He co-developed some of the best
published methods for maintaining power flow in
and multiobjective optimization of radial power
distribution system operations. Solo has served
on 75 international program committees for 72
research conferences and 3 research
multiconferences. He is the principal of
Maverick Technologies America Inc. He previously
worked in many research and development labs in
universities and industry. Also, Solo served
honorably as an infantry officer and platoon
commander understudy in the Cdn. Army Reserve.
Ashu M. G. Solo
Principal/R&D Engineer Maverick Technologies
America Inc.
Suite 808
1220 North Market Street Wilmington
DE 19801 U.S.A.
Email: amgsolo at mavericktechnologies.us
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