Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data

Loglisci, Corrado; Ceci, Michelangelo; Impedovo, Angelo; Malerba, Donato

doi:10.1007/978-3-319-61461-8_13

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“…The framework comes as a Java software library which is completely independent of other data mining frameworks and existing data sources. As future work, we plan to investigate the periodicity of the changes [9].…”

Section: Discussionmentioning

confidence: 99%

jKarma: A highly-modular framework for pattern-based change detection on evolving data

Impedovo

Loglisci

Ceci

et al. 2020

Knowledge-Based Systems

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Pattern-based change detection (PBCD) describes a class of change detection algorithms for evolving data. Contrary to conventional solutions, PBCD seeks changes exhibited by the patterns over time and therefore works on an abstract form of the data, which prevents the search for changes on the raw data. Moreover, PBCD provides arguments on the validity of the results because patterns mirror changes occurred with any form of evidence. However, the existing solutions differ on data representation, mining algorithm and change identification strategy, which we can deem as main modules of a general architecture, so that any PBCD task could be designed by accommodating custom implementations for those modules. This is what we propose in this paper through jKarma, a highly-modular framework for designing and performing PBCD.

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Section: Discussionmentioning

confidence: 99%