An Integrative Framework for Continuous Knowledge Discovery

Provided by: AICIT
Topic: Big Data
Format: PDF
With the growth in the amount of data generated and collected, the need for automatically analyzing the data has received more and more attention from the business community in recent times. It requires some theoretical considerations, which are well understood and popularized throughout the community. The traditional dominant Knowledge Discovery in Databases (KDD) process model offers valuable guidance on the projected-management oriented stages, with no formal foundation to provide guidance in the crucial issue of business understanding, model selection and known knowledge integration.

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