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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

7. Mining Icebergs in Different Time-Stamped Data Sources

verfasst von : Animesh Adhikari, Jhimli Adhikari

Erschienen in: Advances in Knowledge Discovery in Databases

Verlag: Springer International Publishing

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Abstract

Many organizations possess large databases collected over a long period of time. Analysis of such databases might be strategically important for further growth of the organizations. For instance, it might be of interest to learn about interesting changes in sales over time. In this chapter, we introduce a new pattern, called notch, of an item in time-stamped databases. Based on this notion, we propose a special kind of notch, called a generalized notch and subsequently, a specific type of generalized notch, called an iceberg, in time-stamped databases. We design an algorithm for mining interesting icebergs in time-stamped databases. We also present experimental results obtained for both synthetic and real-world databases.

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Vorheriges Kapitel Mining Patterns in Different Related Databases
Nächstes Kapitel Synthesizing Exceptional Patterns in Different Data Sources
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Metadaten
Titel
Mining Icebergs in Different Time-Stamped Data Sources
verfasst von
Animesh Adhikari
Jhimli Adhikari
Copyright-Jahr
2015
Buch
Advances in Knowledge Discovery in Databases

Print ISBN: 978-3-319-13211-2

Electronic ISBN: 978-3-319-13212-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-13212-9_7