| ISBN: ISBN: 978-1-60566-748-5
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| |
| description |
Finally, Chapter XVI introduces a calendar-based pattern mining that
aims at identifying patterns on specific calendar partitions in
continuous data streams. The authors present how a data warehouse
approach can be applied to leverage calendar-based pattern mining in
data streams and how the framework of the DWFIST approach can cope
with tight time constraints imposed by data streams, keep storage
requirements at a manageable level and, at the same time, support
calendar-based frequent itemset mining. The minimum granularity of
analysis, parameters of the data warehouse (e.g. mining minimum
support) and parameters of the database (e.g. extent size) provide
ways to tune the load performance.
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| publisher |
IGI Global
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| type |
Text
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| Article in Book
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| source |
In: Nguyen, Tho Manh (ed.): Complex Data Warehousing and Knowledge
Discovery for Advanced Retrieval Development: Innovative Methods and
Applications, pp. 1-30
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| contributor |
IPVS, Anwendersoftware
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| subject |
Database Applications (CR H.2.8)
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