Balanced multidimensional extendible hash tree
PODS '86 Proceedings of the fifth ACM SIGACT-SIGMOD symposium on Principles of database systems
Description and performance analysis of signature file methods for office filing
ACM Transactions on Information Systems (TOIS)
Multikey access methods based on superimposed coding techniques
ACM Transactions on Database Systems (TODS)
Partitioned signature files: design issues and performance evaluation
ACM Transactions on Information Systems (TOIS)
The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Dynamic partitioning of signature files
ACM Transactions on Information Systems (TOIS)
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
S-tree: a dynamic balanced signature index for office retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Signature files: an access method for documents and its analytical performance evaluation
ACM Transactions on Information Systems (TOIS)
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Approximate Queries and Representations for Large Data Sequences
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
HierarchyScan: A Hierarchical Similarity Search Algorithm for Databases of Long Sequences
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Querying Continuous Time Sequences
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
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This paper describes a new approach to indexing time series. Indexing time series is more problematic than indexing text since in extreme we need to find all possible subsequences in the time series sequence. We propose to use signature files to index the time series and we also propose a new method to index the signature files to speed up the search of large time series. We propose a novel index structure, the signature tree, for time series indexing. We implemented the signature tree and we discuss its performance.