NewsFrom: Ed Colet Date: Wed, 5 Sep 2001 12:23:22 -0400 Subject: CarMiner -- automatically finding hidden patterns in fatal crash data Software Program Provides Early Warning of Potential Auto Safety Issues By Automatically Finding Hidden Patterns In Federal Data of Fatal Crashes. Findings for Ford Explorer Made Available Hartsdale, NY August 23, 2001 /PRNewswire/ - Virtual Gold, Inc., a leading next-generation data mining software company announced today the availability of a computer program (CarMiner) that will enable users to test their theories and evaluate information about vehicles involved in fatal crashes. If a theory presented to CarMiner is incomplete or inaccurate, the program automatically highlights statistics in the FARS (Fatality Analysis Research System) data that give the user a more accurate picture. CarMiner is based on a new approach to data mining called causative analysis, the latest brainchild of Dr. Inderpal Bhandari, Founder & CEO of Virtual Gold. The approach involves the use of a computer model of what statistical patterns make sense from the standpoint of physical causality and real-world impact. Dr. Bhandari explained the benefits. "It turns out that using a computer model of causality makes it easier to assess the impact of the trillions of partial and conditional relationships that exist among variables in high-dimensional data. That, in turn, makes it possible to automatically evaluate very large numbers of patterns efficiently, since most can be eliminated rapidly from consideration. Finally, it makes it easy for non-technical decision makers to use powerful analysis methods since everyone has a commonsense idea of what causality and real-world impact are. I expect that such models will be used routinely by the next generation of data mining software". Causative analysis is now an integral part of Virtual Gold's VirtualMiner technology platform that was used to develop CarMiner. Virtual Gold also announced the availability of a report on the experience of using CarMiner to study the Ford Explorer. The report addresses questions of current interest pertaining to tire-related, rollover-related, driver-maneuver-related, and in-car-death- related fatal crashes involving Ford Explorer and other comparable sport utility vehicle (SUV) during the period 1995-1999. By examining the relationships that exist among 120 vehicle-related and driver-related attributes in the FARS data of over 10,000 fatal crashes, the FARS statistics highlighted automatically by CarMiner provide insight over and beyond what appears to be presently known about these questions. They can serve to provide early warnings of potential safety issues that should be addressed. Virtual Gold estimated that there could be as many as 344 trillion partial relationships among the 120 attributes in the FARS data on SUV's, suggesting why it was all but inevitable that CarMiner would discover knowledge to shed light on these questions about Ford Explorer. CarMiner processes this data efficiently on a standard personal computer, which is suggestive of the power of causative analysis. The report introduces the concepts that underlie causative analysis and is written for a wide, non-technical audience. The company also plans to conduct analyses on other models of SUVs, cars and trucks in the near future. Dr. Bhandari, Virtual Gold's Founder and CEO, was prompted to apply the company's award winning data mining technology to the FARS database after reading an article in the New York Times. The article noted that "examining the (FARS) data without a clear idea of what it contains is much harder than finding clues once a problem is known", explaining the challenge faced by Ford, Firestone and federal safety regulators in identifying such problems before they are known. CarMiner is intended for automobile makers, insurance companies, banks, U.S. and non- U.S. government agencies, not-for-profit organizations, automobile consumers, and web sites for automobile consumers. Customers can use CarMiner as an Internet-based service to test their own theories and evaluate information about vehicles in the FARS or other databases. CarMiner is also available as a software platform. Details may be found at www.virtualgold.com/CarMiner/. Parties interested in business development opportunities should contact Thomas J. Martin, thomas.martin@virtualgold.com Executive Vice President, who is responsible for taking Virtual Gold's next generation data mining software to market. About Virtual Gold, Inc., www.virtualgold.com Virtual Gold, Inc. is a leading next-generation business intelligence and data mining software company. Former IBM scientist Dr. Inderpal Bhandari, one of the world's leading authorities on data mining and its timely application to real world problems, founded it in 1997. Virtual Gold provides an integrated family of web-based data mining software and solutions. The company is headquartered in Hartsdale, New York and has a software development group located in Kolkata, India. Source: Virtual Gold, Inc. Website: www.virtualgold.com |
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