The Internet and corporate databases may bring the world’s knowledge to our fingertips, but let’s face it, who needs it all? The true value now lies in machines that can find useful information—and "useful" is interpreted differently by every person who sits before a keyboard. Accommodating our individual needs requires the ability of a computer […]
November 1999 - Vol. 42 No. 11
Features
Digital Village: the Cost of Having Analog Executives in a Digital World
The likelihood of accurate technology forecasting can never be known.
Evolving a New Theory of Project Success
Regardless of how "troubled" a project may be, what is learned after crossing the finish line can be a practitioner's overwhelming success.
Forum: Software Project Failure Lessons Learned
This letter, triggered by Robert Glass’s "Practical Programmer" column "Buzzwordism and the Epic $150 Million Software Debacle" (Aug. 1999, p. 17), aims at a more general scope than just replying to Glass’s claims. Let me start, however, with a claim I share 100% with Glass: There is a big and unfortunate chasm between academe and […]
We're interested in techniques that automatically find fundamental properties and principles that are original and useful.
Machine Learning and Data Mining
Machine learning algorithms enable discovery of important "regularities" in large data sets.
Discovery Tools For Science Apps
Speed and smarts propel new tools for scientific applications.
Scientific Knowledge Discovery Using Inductive Logic Programming
ILP can be more effective than neural nets for delving into biological function data for pharmaceutical engineers developing new drugs and their multiple varieties.
Knowledge Discovery Based on Neural Networks
The intelligence emerging from interactions among numerous self-organizing processing elements can be trained to discover the knowledge embedded in data.
Evolutionary Computation For Discovery
New automated tools hold the promise of allowing users to find more, learn more, and build more opportunities.
Discovery Through Rough Set Theory
Recent industry and market research apps demonstrate the decisive power of rough sets.
Building mining apps in natural language processing poses special challenges, but also offers great rewards.
Discovery in the Human Genome Project
There are several layers of knowledge discovery in this international project and each one poses big questions to biologists.
Knowledge Discovery in Deep Blue
A vast database of human experience can be used to direct a search.
The Messyware Advantage: The Precipitous Rise of the Middleman
The precipitous rise of the middleman.
Ten Myths of Multimodal Interaction
Moving from traditional interfaces toward interfaces offering users greater expressive power, naturalness, and portability.
An Integrated Approach to Enterprise Computing Architectures
Synthesizing an organization's computing infrastructure to support the spectrum of tasks performed by users in a geographically distributed organization.
A Proposal For an Open DSS Protocol
Before Decision Support Systems can be shared via the Web, a common protocol for deploying them must be agreed upon.
Putting OO Distributed Programming to Work
An exercise in abstracting and factoring out failure detection.
Inside Risks: Risks of Content Filtering
The Internet and World Wide Web may be the ultimate double-edged swords. They bring diverse opportunities and risks. Just about anything anyone might want is on the Net, from the sublime to the truly evil. Some categories of information could induce argument forever, such as what is obscene or harmful, whereas others may be more […]
