Features
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COM and OLE in Data Mining: Perspecitives, Benefits and Implementations
Yuri Slynko and Sergei Anayan explore a new tool that may help solidify
data mining’s place in the corporate world. |
Using Microsoft VB and DCOM for AI Applications Ken Ono explains
the use of object oriented techniques to provide data mining solutions. |
The OSHA Hazard Awareness Advisor Ed Stern describes the process
for developing Web-based and distributed informational expert systems to
help business comply |
CLOS - A Perspective Richard Barber discusses benefits of Object
Oriented Programming with Lisp ? including implementations of web authoring
(Schema GmbH) and risk analysis (Arthur D. Little Inc.) |
Agile Business Rule Processing Paul Haley explains an efficient,
reliable and scaleable approach to invent business processes that accurately
reflect business rules policies and practices |
AI@Work - BioComp Systems Inc. and Harlequin Inc. demonstrate object
oriented techniques in conjunction with AI technologies - neural networks,
genetic algorithms, rules and data mining - to provide solutions to tough
problems such as the Y2K |
Regulars |
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Editorial |
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Secret Agent Man - It's Almost 2001 - Where's Hal?
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by Don Barker |
Intelligence Files - Patent Dispute Stirs Up the Neural
Net Field |
by David Blanchard |
AI and the Net - Weather on the Web |
by Mary Kroening |
The Book Zone - Genetic Programming - An Introduction;
OLAP Solutions: Building Multidimensional Information Systems |
by Will Dwinnell |
Product Updates -----------------------------> |
16 late breaking product announcements from
around the world in the fields of: |
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Data Mining |
Financial Systems |
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Help Desk |
Intelligent Applications |
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Knowledge-Based Systems |
Languages |
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Neural Networks |
Object Oriented Development |
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Tools |
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Product Service Guide - Provides access to information
on an entire category of products |
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PC AI Blackboard - AI advertisers bulletin board |
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I recently came across www.research.microsoft.com, an informative site
that covers current research at Microsoft and provides a technical paper
archive. Under the major category, Advanced Interactivity and Intelligence,
research is being done in Decision Theory and Adaptive Systems, Natural
Language Processing, Speech Technology, Vision Technology, Telepresence
and Advanced Development. The publicity from Microsoft's acquisitions and
dealings with the Department of Justice overshadows their accumulation of
some of the most creative research minds in the world. As military and corporate
America reduce their R&D budgets, Microsoft has been quietly hiring
the industry experts. Microsoft, with a research budget rumored to be in
the neighborhood of $3 billion, is becoming the Bell Labs of the next millennium.
It appears to us the focus of AI R&D, although still very active in
military and general business sectors, has shifted to Microsoft. Not only
does this indicate AI is alive and well, it signifies the acceptance of
AI fundamentals by the leading developer of computer technology. |
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In this issue we look at rule-based and object oriented development, first
introduced on the Lisp based AI systems of the early 80's (See CLOS [Common
Lisp Object System] "A Perspective" by Richard Barber). Whether through
languages such as Lisp, Prolog, Dylan, C++, JAVA or higher level developmental
environments using techniques such as Business Rules or Case Based Reasoning,
these developmental concepts are now a fundamental part of business computing.
The language receiving the most notice today is Java. As with all new technologies,
the popular press begins by raising Java on an unrealistic pedestal and
then criticizes it for not meeting the inflated expectation. Java, the latest
technology to feel the growing pains that have befallen the various artificial
intelligence fields that came before, will eventually evolve and thrive
on the fertile planes of the Internet. |
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In "Using Microsoft VB and DCOM for AI Applications" Ken Ono illustrates
a flexible approach for integration of AI and data mining technologies,
through Microsoft's Object Framework. Paul Haley looks at the use of AI
techniques, in particular the Rete algorithm in "Agile Business Rule Processing".
Ed Stern, in "The OSHA Hazard Awareness Advisor" describes their web-based
expert system to identify workplace hazards. In the article, Ed illuminates
the goals, strategy and results of their downloadable advisors that provide
accurate and timely information to the general business community. We also
include "COM and OLE in data mining: Perspectives, benefits and Implementations"
by Yuri Slynko and Sergei Ananyan. |
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Mary Kroenig, in "AI and the NeT", looks at weather prediction and how
neural networks are helping. Don Barker takes a look at Hal from the movie
"2001 A Space Odyssey" and assesses where HAL would fit relative to today's
computer technology. Will Dwinnell reviews books on genetic programming
and OLOP Solutions in Multidimensional Information Systems. David Blanchard
rounds out the columns with the latest news from the AI industry. |
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Terry Hengl Publisher |