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Piecewise Linear Representation Segmentation as a Multiobjective Optimization Problem

机译:分段线性表示分割作为多目标优化问题

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摘要

Actual time series exhibit huge amounts of data which require an unaf-fordable computational load to be processed, leading to approximate representations to aid these processes. Segmentation processes deal with this issue dividing time series into a certain number of segments and approximating those segments with a basic function. Among the most extended segmentation approaches, piece-wise linear representation is highlighted due to its simplicity. This work presents an approach based on the formalization of the segmentation process as a multiob-jetive optimization problem and the resolution of that problem with an evolutionary algorithm.
机译:实际时间序列会显示大量数据,需要处理不起的计算量,从而需要近似表示来帮助这些过程。分割过程处理此问题,将时间序列分为一定数量的片段,并使用基本功能将其逼近。在最扩展的分割方法中,由于其简单性,突出了分段线性表示。这项工作提出了一种基于分割过程形式化的方法,将其作为多对象优化问题,并使用进化算法解决了该问题。

著录项

  • 来源
  • 会议地点 Valencia(ES);Valencia(ES)
  • 作者单位

    Group of Applied Artificial Intelligence (GIAA), Computer Science Department University Carlos III of Madrid. Colmenarejo, Spain;

    Group of Applied Artificial Intelligence (GIAA), Computer Science Department University Carlos III of Madrid. Colmenarejo, Spain;

    Group of Applied Artificial Intelligence (GIAA), Computer Science Department University Carlos III of Madrid. Colmenarejo, Spain;

    Group of Applied Artificial Intelligence (GIAA), Computer Science Department University Carlos III of Madrid. Colmenarejo, Spain;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

  • 入库时间 2022-08-26 14:05:29

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