Abstract
This chapter introduces the challenges and trends of data mining and knowledge discovery from data (KDD). We emphasize the issues surrounding real-world data mining, distinguish data-centered data mining from domain driven data mining, and propose the trends from data-centered hidden pattern discovery to domain driven actionable knowledge delivery(AKD) as a new KDD paradigm shift.
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© 2010 Springer Science+Business Media, LLC
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Cao, L., Zhang, C., Yu, P.S., Zhao, Y. (2010). Challenges and Trends. In: Domain Driven Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5737-5_1
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DOI: https://doi.org/10.1007/978-1-4419-5737-5_1
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5736-8
Online ISBN: 978-1-4419-5737-5
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