A Markov-Based Update Policy for Constantly Changing Database Systems
Volume: 64, Issue: 3, Pages: 287 - 300
Published: Aug 1, 2017
Abstract
In order to maximize the value of an organization's data assets, it is important to keep data in its databases up-to-date. In the era of big data, however, constantly changing data sources make it a challenging task to assure data timeliness in enterprise systems. For instance, due to the high frequency of purchase transactions, purchase data stored in an enterprise resource planning system can easily become outdated, affecting the accuracy of...
Paper Details
Title
A Markov-Based Update Policy for Constantly Changing Database Systems
Published Date
Aug 1, 2017
Volume
64
Issue
3
Pages
287 - 300
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