The visual display of quantitative information
The visual display of quantitative information
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Identifying distinctive subsequences in multivariate time series by clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Adaptive query processing for time-series data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering similar patterns in time series
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Locally adaptive dimensionality reduction for indexing large time series databases
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Towards effective and interpretable data mining by visual interaction
ACM SIGKDD Explorations Newsletter
Monotony of surprise and large-scale quest for unusual words
Proceedings of the sixth annual international conference on Computational biology
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Clustering for Approximate Similarity Search in High-Dimensional Spaces
IEEE Transactions on Knowledge and Data Engineering
Indexing and Mining of the Local Patterns in Sequence Database
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Interactive Exploration of Time Series Data
DS '01 Proceedings of the 4th International Conference on Discovery Science
On the need for time series data mining benchmarks: a survey and empirical demonstration
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Finding surprising patterns in a time series database in linear time and space
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Efficient Searches for Similar Subsequences of Different Lengths in Sequence Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Cluster and Calendar Based Visualization of Time Series Data
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Visualizing Time-Series on Spirals
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
A symbolic representation of time series, with implications for streaming algorithms
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Probabilistic discovery of time series motifs
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Online novelty detection on temporal sequences
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
Visually mining and monitoring massive time series
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Clustering of time-series subsequences is meaningless: implications for previous and future research
Knowledge and Information Systems
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Using visual motifs to classify encrypted traffic
Proceedings of the 3rd international workshop on Visualization for computer security
Why we search: visualizing and predicting user behavior
Proceedings of the 16th international conference on World Wide Web
Experiencing SAX: a novel symbolic representation of time series
Data Mining and Knowledge Discovery
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
Stock time series visualization based on data point importance
Engineering Applications of Artificial Intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Motif detection inspired by immune memory
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Detecting motifs in system call sequences
WISA'07 Proceedings of the 8th international conference on Information security applications
Traffic classification using visual motifs: an empirical evaluation
Proceedings of the Seventh International Symposium on Visualization for Cyber Security
An animated multivariate visualization for physiological and clinical data in the ICU
Proceedings of the 1st ACM International Health Informatics Symposium
A review on time series data mining
Engineering Applications of Artificial Intelligence
LifeFlow: visualizing an overview of event sequences
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Software and Systems Modeling (SoSyM)
Lin-spiration: using a mixture of spiral and linear visualization layouts to explore time series
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
STFMap: query- and feature-driven visualization of large time series data sets
Proceedings of the 21st ACM international conference on Information and knowledge management
Visualization of time-series data in parameter space for understanding facial dynamics
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Visualizing complex energy planning objects with inherent flexibilities
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Visualization of multivariate time-series data in a neonatal ICU
IBM Journal of Research and Development
Motif discovery in spatial trajectories using grammar inference
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Data visualization techniques are very important for data analysis, since the human eye has been frequently advocated as the ultimate data-mining tool. However, there has been surprisingly little work on visualizing massive time series data sets. To this end, we developed VizTree, a time series pattern discovery and visualization system based on augmenting suffix trees. VizTree visually summarizes both the global and local structures of time series data at the same time. In addition, it provides novel interactive solutions to many pattern discovery problems, including the discovery of frequently occurring patterns (motif discovery), surprising patterns (anomaly detection), and query by content. VizTree works by transforming the time series into a symbolic representation, and encoding the data in a modified suffix tree in which the frequency and other properties of patterns are mapped onto colors and other visual properties. We demonstrate the utility of our system by comparing it with state-of-the-art batch algorithms on several real and synthetic data sets. Based on the tree structure, we further device a coefficient which measures the dissimilarity between any two time series. This coefficient is shown to be competitive with the well-known Euclidean distance.