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

作者：

Highlights：

• Pattern-based change detection (PBCD) designed as a highly modular architecture.

• jKarma is a framework for defining and executing ad-hoc PBCD solutions.

• The solutions are independent from existing data sources and data mining frameworks.

• A component-based architectural model allows the rapid prototyping of new solutions.

摘要

•Pattern-based change detection (PBCD) designed as a highly modular architecture.•jKarma is a framework for defining and executing ad-hoc PBCD solutions.•The solutions are independent from existing data sources and data mining frameworks.•A component-based architectural model allows the rapid prototyping of new solutions.

论文关键词：Change detection,Pattern mining,Evolving data,Software modularity

论文评审过程：Received 7 August 2019, Revised 23 October 2019, Accepted 28 November 2019, Available online 3 December 2019, Version of Record 24 February 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.105303