Software Review:
ModelQuest Expert 1.0
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OR/MS Today, December 1997 Software Review: ModelQuest Expert 1.0 |
                
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Reliable and fast data mining using statistical networks By Ashutosh V. Deshmukh Data mining is a growing field driven primarily by the database explosion and availability of powerful computers. Data mining discovers relationships, patterns, trends and predictive information from large and complex databases. Generally, data mining is data driven, not user driven or verification driven [1]. Users do not form and test hypotheses; data mining tools discover previously unknown relationships by working bottom-up on the data set. Data mining provides a convenient way to extract information from large databases generated by corporations and other entities, and has been successfully employed by many businesses. Data mining tools use different types of processing algorithms. The four primary methods are associations, clustering, classification and sequential patterns [2]. These methods can be further grouped; for example, classification can be achieved by decision trees, rule discovery, neural networks, rough sets, etc. The Internet lists numerous companies producing "siftware" (software to sift through databases) using the above approaches [3]. Introduction to ModelQuest Expert ModelQuest Expert (MQ Expert) is one data mining tool among a family of PC-based data mining tools (MQ MarketMiner and MQ Enterprise) developed by AbTech Corporation. MQ MarketMiner (currently in Beta) and MQ Enterprise are client/server applications that run on Windows NT and select UNIX platforms. They differ primarily by their ability to handle the number of variables, size of data and also their reports and analyses. The details of these products are available on the company's web site. MQ Expert is AbTech's stand-alone product capable of handling 100 variables and 32,000 examples. MQ Expert uses a unique approach to data mining employing multiple strategies.
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