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Mining bioprocess data: opportunities and challenges

Paper ID Volume ID Publish Year Pages File Format Full-Text
37234 45326 2008 10 PDF Available
Title
Mining bioprocess data: opportunities and challenges
Abstract

Modern biotechnology production plants are equipped with sophisticated control, data logging and archiving systems. These data hold a wealth of information that might shed light on the cause of process outcome fluctuations, whether the outcome of concern is productivity or product quality. These data might also provide clues on means to further improve process outcome. Data-driven knowledge discovery approaches can potentially unveil hidden information, predict process outcome, and provide insights on implementing robust processes. Here we describe the steps involved in process data mining with an emphasis on recent advances in data mining methods pertinent to the unique characteristics of biological process data.

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Mining bioprocess data: opportunities and challenges
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Publisher
Database: Elsevier - ScienceDirect
Journal: - Volume 26, Issue 12, December 2008, Pages 690–699
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us