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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, 2009As 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 +4 more
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SQUIRE: sequential pattern mining with quantities
Proceedings. 20th International Conference on Data Engineering, 2004In 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
2006Current 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 +3 more
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The Sequential Initializer Pattern
Proceedings of the 27th European Conference on Pattern Languages of Programs, 2022Martin Eisemann +2 more
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Sequential cardiorespiratory patterns in septic shock
Critical Care Medicine, 1983Sequential 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 +3 more
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eSeeTrack—Visualizing Sequential Fixation Patterns
IEEE Transactions on Visualization and Computer Graphics, 2010We introduce eSeeTrack, an eye-tracking visualization prototype that facilitates exploration and comparison of sequential gaze orderings in a static or a dynamic scene. It extends current eye-tracking data visualizations by extracting patterns of sequential gaze orderings, displaying these patterns in a way that does not depend on the number of ...
Hoi Ying Tsang +2 more
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2014
Sequential pattern mining, which discovers frequent subsequences as patterns in a sequence database, has been a focused theme in data mining research for over a decade. This problem has broad applications, such as mining customer purchase patterns and Web access patterns.
Wei Shen, Jianyong Wang, Jiawei Han
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Sequential pattern mining, which discovers frequent subsequences as patterns in a sequence database, has been a focused theme in data mining research for over a decade. This problem has broad applications, such as mining customer purchase patterns and Web access patterns.
Wei Shen, Jianyong Wang, Jiawei Han
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Sequential patterns and maximizing.
Journal of Experimental Psychology, 1965C R, PETERSON, Z J, ULEHLA
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Qualitative Point Sequential Patterns
2003We have introduced a general model for representing and reasoning about STCSP (Sequential Temporal Constraint Satisfaction Problems) to deal with patterns in data mining and applications which generate great quantity of data used to understand or to explain some given situations (diagnostic of dynamic systems, alarms monitoring, event prediction, etc.).
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2011
This chapter introduces maximal sequential patterns, how to extract them, and some applications of maximal sequential patterns for document processing and web content mining. The main objective of this chapter is showing that maximal sequential patterns preserve document semantic, and therefore they could be a good alternative to the word and n-gram ...
René Arnulfo García-Hernández +2 more
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This chapter introduces maximal sequential patterns, how to extract them, and some applications of maximal sequential patterns for document processing and web content mining. The main objective of this chapter is showing that maximal sequential patterns preserve document semantic, and therefore they could be a good alternative to the word and n-gram ...
René Arnulfo García-Hernández +2 more
openaire +1 more source