FEATURE ARTICLE
Knowledge Discovery and Data Mining
Computers taught to discern patterns, detect anomalies and apply decision algorithms can help secure computer systems and find volcanoes on Venus
Carla Brodley, Terran Lane, Timothy Stough
Conclusion
The field of knowledge discovery in databases has emerged in the past five years, bringing together investigators from artificial intelligence, neural networks, statistics, databases and scientific visualization. In industry, the number of commercial tools and consultants has been growing, and they are certain to find a place in science and medicine as well.
We wish to end with a word of caution to any readers who want to apply KDD techniques to their own data sets. KDD can only find patterns in data if the patterns actually exist. Moreover, a successful application of KDD is often an iterative process, in which the KDD expert and the domain expert work together to define the problem and analyze the results.
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