High Utility Analysis in Transactional Data Bases

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
Details exploration programs often include complicated data such as several huge heterogeneous data resources, user choices, and company impact. In such situations, only one method or one-step exploration is often limited in discovering valuable information. It would also be very time and space consuming and also impossible to join huge data resources for exploration styles made up of several aspects of data. It is crucial to develop effective techniques for exploration styles mixing information the user need from several relevant company lines, catering for actual company configurations and decision-making actions rather than just providing only one line of styles.
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