Results 261 to 270 of about 2,649,704 (304)

Mining Sequential Patterns with Pattern Constraint

2015
Mining sequential patterns is to find the sequential purchasing behaviors for most of the customers. There were many algorithms proposed for discovering all the sequential patterns. However, users may be only interested in certain items or behaviors.
Show-Jane Yen, Yue-Shi Lee, Bai-En Shie, Yeuan-Kuen Lee   +3 more
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Mining sequential patterns for classification

Knowledge and Information Systems, 2015
While a number of efficient sequential pattern mining algorithms were developed over the years, they can still take a long time and produce a huge number of patterns, many of which are redundant. These properties are especially frustrating when the goal of pattern mining is to find patterns for use as features in classification problems. In this paper,
Dmitriy Fradkin, Fabian Mörchen
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On progressive sequential pattern mining

Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06, 2006
When sequential patterns are generated, the newly arriving patterns may not be identified as frequent sequential patterns due to the existence of old data and sequences. In practice, users are usually more interested in the recent data than the old ones.
Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-Syan Chen   +3 more
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Monitoring of Sequential Binary Patterns

Perceptual and Motor Skills, 1963
An attempt was made to obtain a rough estimate of the human S's monitoring span. Sequences of binary digits were flashed to Ss whose task was to indicate the occurrence of a specific pattern of digits. The upper limit of monitoring performance is about 7 digits per second.
I, POLLACK, L, JOHNSON
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From Sequential Patterns to Structural Relation Patterns

2009 International Conference on Scalable Computing and Communications; Eighth International Conference on Embedded Computing, 2009
As an important branch of data mining, sequential patterns mining has been extensively studied. Based on sequential patterns mining, Structural Relation Patterns (SRPs) mining is proposed for mining relations among sequences, these relations are generally hidden behind sequential patterns.
Weiru Chen, Yang Zhang, Shanshan Chen, Funan Peng, Jing Lu 0001   +4 more
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SQUIRE: sequential pattern mining with quantities

Proceedings. 20th International Conference on Data Engineering, 2004
In this paper, we consider the problem of mining sequential patterns with quantities. Naive extensions to existing algorithms for sequential patterns are inefficient, as they may enumerate the search space blindly. To alleviate the situation, we propose hash filtering and quantity sampling techniques that significantly improve the performance of the ...
Kim C., Lim J.-H., Ng R.T., Shim K.
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Mining Compressed Sequential Patterns

2006
Current sequential pattern mining algorithms often produce a large number of patterns. It is difficult for a user to explore in so many patterns and get a global view of the patterns and the underlying data. In this paper, we examine the problem of how to compress a set of sequential patterns using only K SP-Features(Sequential Pattern Features).
Lei Chang, Dongqing Yang, Shiwei Tang, Tengjiao Wang 0003   +3 more
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Sequential cardiorespiratory patterns in septic shock

Critical Care Medicine, 1983
Sequential hemodynamic and oxygen transport monitoring was performed in 33 patients with septic shock to define the temporal pattern of physiologic events. Measurements taken over a 24-h period before the hypotensive crisis, defined as the lowest initial mean arterial pressure (MAP), were compared to those taken during the 48 h thereafter.
E, Abraham, W C, Shoemaker, R D, Bland, J C, Cobo   +3 more
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The Sequential Initializer Pattern

Proceedings of the 27th European Conference on Pattern Languages of Programs, 2022
Martin Eisemann, Anja Katharina Bertels, Dominik Deimel   +2 more
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Permutation-Based Sequential Pattern Hiding

2013 IEEE 13th International Conference on Data Mining, 2013
Sequence data are increasingly shared to enable mining applications, in various domains such as marketing, telecommunications, and healthcare. This, however, may expose sensitive sequential patterns, which lead to intrusive inferences about individuals or leak confidential information about organizations. This paper presents the first permutation-based
Gwadera, Robert, Gkoulalas-Divanis, Aris, Loukides, Grigorios   +2 more
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