Title :
Irregular Trend Finder: Visualization tool for analyzing time-series big data
Author :
Takeda, Shinnosuke ; Kobayashi, Aimi ; Kobayashi, Hiroaki ; Okubo, Saori ; Misue, Kazuo
Author_Institution :
University of Tsukuba, Japan
Abstract :
We created a visualization tool called Irregular Trend Finder (ITF) for the VAST Challenge 2012 Mini Challenge 1. ITF is an interactive tool designed for analyzing large amounts of data with times-tamp and hierarchy structure in mind, so that a user can see the overview first, and then obtain more detailed information. We discovered the answers for the Challenge, and confirmed that overview first and then looking in detail is an efficient method to seek particular information in case of large amounts of data.
Keywords :
Anomaly Finder; Big Data; Information Visualisation; Time-series Data;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4752-5
DOI :
10.1109/VAST.2012.6400504
