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
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
String searching algorithms
Similarity-based queries for time series data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Fast time-series searching with scaling and shifting
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
Duality-Based Subsequence Matching in Time-Series Databases
Proceedings of the 17th International Conference on Data Engineering
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Fast Time Sequence Indexing for Arbitrary Lp Norms
VLDB '00 Proceedings of the 26th 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
On Similarity Queries for Time-Series Data: Constraint Specification and Implementation
CP '95 Proceedings of the First International Conference on Principles and Practice of Constraint Programming
An Index-Based Approach for Similarity Search Supporting Time Warping in Large Sequence Databases
Proceedings of the 17th International Conference on Data Engineering
On Similarity-Based Queries for Time Series Data
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Efficient Searches for Similar Subsequences of Different Lengths in Sequence Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
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This paper addresses the problem of timestamped event sequence matching, a new type of sequence matching that retrieves the occurrences of interesting patterns from a timestamped event sequence. Timestamped event sequence matching is useful for discovering temporal causal relationships among timestamped events. In this paper, we first point out the shortcomings of prior approaches to this problem and then propose a novel method that employs an R∗-tree to overcome them. To build an R∗-tree, it places a time window at every position of a timestamped event sequence and represents each window as an n-dimensional rectangle by considering the first and last occurrence times of each event type. Here, n is the total number of disparate event types that may occur in a target application. When n is large, we apply a grouping technique to reduce the dimensionality of an R∗-tree. To retrieve the occurrences of a query pattern from a timestamped event sequence, the proposed method first identifies a small number of candidates by searching an R∗-tree and then picks out true answers from them. We prove its robustness formally, and also show its effectiveness via extensive experiments.