On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
Data Mining and Knowledge Discovery
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
QueryLines: approximate query for visual browsing
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Dynamic, real-time forecasting of online auctions via functional models
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Relaxed selection techniques for querying time-series graphs
Proceedings of the 22nd annual ACM symposium on User interface software and technology
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Time series analysis is a process whose goal is to understand phenomena. The analysis often involves the search for a specific pattern. Finding patterns is one of the fundamental steps for time series observation or forecasting. The way in which users are able to specify a pattern to use for querying the time series database is still a challenge. We hereby propose an enhancement of the SearchBox, a widget used in TimeSearcher, a well known tool developed at the University of Maryland that allows users to find patterns similar to the one of interest.