Extracting Knowledge from Data Using an Intelligent Fuzzy Data Browser

Knowledge, in the form of rules, can enhance raw data by offering a compact summary or by giving a predictive capability. Frequently, information in a database may be incomplete or uncertain; however, it is often possible to estimate the value of missing data by comparison to similar cases in the database. Humans usually prefer to work in terms of rules which summarise trends in data, rather than remembering specific details from all cases. These rules may not be completely reliable, and may not allow the original data to be completely reproduced; however, they can greatly compress the data and often give insight into the underlying structure of the data.

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