Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series

• Published in: Machine Learning and Knowledge Discovery in Databases Vol. 9853; pp. 12 - 16
• Main Authors: Cachucho, Ricardo, Liu, Kaihua, Nijssen, Siegfried, Knobbe, Arno
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2016; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Biclustering Algorithms; Biclustering Gene Expression; Contemporary Tasks; Minimum Segment Size; Multivariate Time Series
• ISBN: 9783319461304; 3319461303
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-46131-1_3

Large amounts of multivariate time series data are being generated every day. Understanding this data and finding patterns in it is a contemporary task. To find prominent patterns present in multivariate time series, one can use biclustering, that is looking for patterns both in subsets of variables that show coherent behavior and in a number of time periods. For this, an experimental tool is needed. Here, we present Bipeline, a web-based visualization tool that provides both experts and non-experts with a pipeline for experimenting with multivariate time series biclustering. With Bipeline, it is straightforward to save experiments and try different biclustering algorithms, enabling users to intuitively go from pre-processing to visual analysis of biclusters.