Results 21 to 30 of about 310,714 (306)
Learning Sequential Patterns for Lipreading [PDF]
This paper proposes a novel machine learning algorithm (SP-Boosting) to tackle the problem of lipreading by building visual sequence classifiers based on sequential patterns. We show that an exhaustive search of optimal sequential patterns is not possible due to the immense search space, and tackle this with a novel, efficient tree-search method with a
Eng-Jon Ong, Richard Bowden
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On the use of the Rademacher complexity in mining sequential patterns [PDF]
A sequential pattern is a sequence of sets of items. Mining sequential patterns from very large datasets is a fundamental problem in data mining. This thesis formally proves the first rigorous and efficiently computable bound on the Rademacher complexity
Santoro, Diego
core
Discovering Exclusive Patterns in Frequent Sequences [PDF]
This paper presents a new concept for pattern discovery in frequent sequences with potentially interesting applications. Based on data mining, the approach aims to discover exclusive sequential patterns (ESP) by checking the relative exclusion of ...
Weiru Chen +5 more
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Discovery of crime event sequences with constricted spatio-temporal sequential patterns
In this article, we introduce a novel type of spatio-temporal sequential patterns called Constricted Spatio-Temporal Sequential (CSTS) patterns and thoroughly analyze their properties.
Piotr S. Maciąg +2 more
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Semantics of Negative Sequential Patterns
In the field of pattern mining, a negative sequential pattern is specified by means of a sequence consisting of events to occur and of other events, called negative events, to be absent. For instance, containment of the pattern $\langle a\ \neg b\ c\rangle$ arises with an occurrence of a and a subsequent occurrence of c but no occurrence of b in ...
Guyet, Thomas, Besnard, Philippe
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Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach
With the improvement of people’s living quality, more attention has been paid in food safety and quality. This is especially true for perishable agricultural and dairy products.
Huang Haisong +2 more
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Contextual Sequential Pattern Mining [PDF]
Traditional sequential patterns do not take into account additional contextual information since patterns extracted from data are usually general. By considering the fact that a pattern is associated with one specific context the decision expert can then adapt his strategy considering the type of customers. In this paper we propose to mine more precise
Rabatel, Julien +2 more
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A Graph-Based Differentially Private Algorithm for Mining Frequent Sequential Patterns
Currently, individuals leave a digital trace of their activities when they use their smartphones, social media, mobile apps, credit card payments, Internet surfing profile, etc.
Miguel Nunez-del-Prado +4 more
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Hiding Sequential and Spatiotemporal Patterns
The process of discovering relevant patterns holding in a database was first indicated as a threat to database security by O'Leary in [1]. Since then, many different approaches for knowledge hiding have emerged over the years, mainly in the context of association rules and frequent item sets mining.
Giannotti F, Bonchi F, Abul O
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An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns
Mining frequent closed sequential pattern (FCSPs) has attracted a great deal of research attention, because it is an important task in sequences mining.
Bao Huynh, Bay Vo, Vaclav Snasel
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