No coin nor oath required. For personal study only.
The past decade has seen explosive growth in database technology and the amount of data collected. Advances in data collection, use of bar codes in commercial outlets, and the computerization of business transactions have flooded us with lots of data. We have an unprecedented opportunity to analyze this data to extract more intelligent and useful information. Knowledge discovery is the efficient supervised or unsupervised discovery of interesting, useful, and previously unknown patterns from this data. Due to the huge size of data and amount of computation involved in knowledge discovery, parallel processing is an essential component for any successful large-scale data mining application. This special issue, tentatively scheduled to appear in July 1999, will contain papers with recent results in parallel computation for knowledge discovery including applications, algorithms, software, and systems.
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