TU Darmstadt / ULB / TUbiblio

Visual-Interactive Preprocessing of Time Series Data

Bernard, Jürgen and Ruppert, Tobias and Goroll, Oliver and May, Thorsten and Kohlhammer, Jörn (2012):
Visual-Interactive Preprocessing of Time Series Data.
Linköping University Electronic Press, Linköping, In: Proceedings of SIGRAD 2012, In: Linköping Electronic Conference Proceedings; 81, [Conference or Workshop Item]

Abstract

Time series data is an important data type in many different application scenarios. Consequently, there are a great variety of approaches for analyzing time series data. Within these approaches different strategies for cleaning, segmenting, representing, normalizing, comparing, and aggregating time series data can be found. When combining these operations, the time series analysis preprocessing workflow has many degrees of freedom. To define an appropriate preprocessing pipeline, the knowledge of experts coming from the application domain has to be included into the design process. Unfortunately, these experts often cannot estimate the effects of the chosen preprocessing algorithms and their parameterizations on the time series. We introduce a system for the visual-interactive exploitation of the preprocessing parameter space. In contrast to 'black box'-driven approaches designed by computer scientists based on the requirements of domain experts, our system allows these experts to visual-interactively compose time series preprocessing pipelines by themselves. Visual support is provided to choose the right order and parameterization of the preprocessing steps. We demonstrate the usability of our approach with a case study from the digital library domain, in which time-oriented scientific research data has to be preprocessed to realize a visual search and analysis application.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Bernard, Jürgen and Ruppert, Tobias and Goroll, Oliver and May, Thorsten and Kohlhammer, Jörn
Title: Visual-Interactive Preprocessing of Time Series Data
Language: English
Abstract:

Time series data is an important data type in many different application scenarios. Consequently, there are a great variety of approaches for analyzing time series data. Within these approaches different strategies for cleaning, segmenting, representing, normalizing, comparing, and aggregating time series data can be found. When combining these operations, the time series analysis preprocessing workflow has many degrees of freedom. To define an appropriate preprocessing pipeline, the knowledge of experts coming from the application domain has to be included into the design process. Unfortunately, these experts often cannot estimate the effects of the chosen preprocessing algorithms and their parameterizations on the time series. We introduce a system for the visual-interactive exploitation of the preprocessing parameter space. In contrast to 'black box'-driven approaches designed by computer scientists based on the requirements of domain experts, our system allows these experts to visual-interactively compose time series preprocessing pipelines by themselves. Visual support is provided to choose the right order and parameterization of the preprocessing steps. We demonstrate the usability of our approach with a case study from the digital library domain, in which time-oriented scientific research data has to be preprocessed to realize a visual search and analysis application.

Series Name: Linköping Electronic Conference Proceedings; 81
Publisher: Linköping University Electronic Press, Linköping
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Generalized digital documents, Visual analytics, Time series analysis, Decision support, Interactive information visualization, Visual data mining
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Proceedings of SIGRAD 2012
Date Deposited: 12 Nov 2018 11:16
Export:

Optionen (nur für Redakteure)

View Item View Item