Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Ranked subsequence matching in time-series databases
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Trajectory-based visual analysis of large financial time series data
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
On the brink: searching for drops in sensor data
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
An empirical study of similarity search in stock data
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
Proceedings of the VLDB Endowment
Fast Normalization-Transformed Subsequence Matching in Time-Series Databases
IEICE - Transactions on Information and Systems
Computer Methods and Programs in Biomedicine
Distortion-free predictive streaming time-series matching
Information Sciences: an International Journal
Proceedings of the 2010 ACM Symposium on Applied Computing
A framework for time-series analysis
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Discretization of time series dataset using relative frequency and K-nearest neighbor approach
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Finding semantics in time series
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
A new approach for processing ranked subsequence matching based on ranked union
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Proceedings of the Third Workshop on Large Scale Data Mining: Theory and Applications
SciQL: bridging the gap between science and relational DBMS
Proceedings of the 15th Symposium on International Database Engineering & Applications
Similarity in (spatial, temporal and) spatio-temporal datasets
Proceedings of the 15th International Conference on Extending Database Technology
Time-series mining in a psychological domain
Proceedings of the Fifth Balkan Conference in Informatics
TSX: a novel symbolic representation for financial time series
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Assisted descriptor selection based on visual comparative data analysis
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Experimental comparison of representation methods and distance measures for time series data
Data Mining and Knowledge Discovery
Specialized storage for big numeric time series
HotStorage'13 Proceedings of the 5th USENIX conference on Hot Topics in Storage and File Systems
A data-adaptive and dynamic segmentation index for whole matching on time series
Proceedings of the VLDB Endowment
Matching Observed with Empirical Reality --What you see is what you get?
Fundamenta Informaticae - Dedicated to the Memory of Professor Manfred Kudlek
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Time series data is ubiquitous; large volumes of time series data are routinely created in scientific, industrial, entertainment, medical and biological domains. Examples include gene expression data, electrocardiograms, electroencephalograms, gait analysis, stock market quotes, space telemetry etc. Although statisticians have worked with time series for more than a century, many of their techniques hold little utility for researchers working with massive time series databases.A decade ago, a seminal paper by Faloutsos, Ranganathan, Manolopoulos appeared in SIGMOD. The paper, Fast Subsequence Matching in Time-Series Databases, has spawned at least a thousand references and extensions in the database/ data mining and information retrieval communities. This tutorial will summarize the decade of progress since this influential paper appeared.