ACM Transactions on Database Systems (TODS)
Optimal multi-step k-nearest neighbor search
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Searching Multimedia Databases by Content
Searching Multimedia Databases by Content
Continuous queries over data streams
ACM SIGMOD Record
Efficient and Adaptive Processing of Multiple Continuous Queries
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
An Index-Based Approach for Similarity Search Supporting Time Warping in Large Sequence Databases
Proceedings of the 17th International Conference on Data Engineering
Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Warping indexes with envelope transforms for query by humming
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
FTW: fast similarity search under the time warping distance
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Exact indexing of dynamic time warping
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
The TS-tree: efficient time series search and retrieval
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Toward accurate dynamic time warping in linear time and space
Intelligent Data Analysis
Approximate embedding-based subsequence matching of time series
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Proceedings of the VLDB Endowment
Robust Adaptable Video Copy Detection
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
Predictive QoS routing to mobile sinks in wireless sensor networks
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Anticipatory DTW for efficient similarity search in time series databases
Proceedings of the VLDB Endowment
A shared execution strategy for multiple pattern mining requests over streaming data
Proceedings of the VLDB Endowment
Efficient index support for view-dependent queries on CFD data
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
Efficient algorithms for collaborative decision making for large scale settings
Proceedings of the 3rd international workshop on Collaborative information retrieval
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Dynamic Time Warping (DTW) is a widely used distance measure for time series that has been successfully used in science and many other application domains. As DTW is computationally expensive, there is a strong need for efficient query processing algorithms. Such algorithms exist for single queries. In many of today's applications, however, large numbers of queries arise at any given time. Existing DTW techniques do not process multiple DTW queries simultaneously, a serious limitation which slows down overall processing. In this paper, we propose an efficient processing approach for multiple DTW queries. We base our approach on the observation that algorithms in areas such as data mining and interactive visualization incur many queries that share certain characteristics. Our solution exploits these shared characteristics by pruning database time series with respect to sets of queries, and we prove a lower-bounding property that guarantees no false dismissals. Our technique can be flexibly combined with existing DTW lower bounds or other single DTW query speed-up techniques for further runtime reduction. Our thorough experimental evaluation demonstrates substantial performance gains for multiple DTW queries.