[PDF] Top 20 Mining Heterogeneous Multidimensional Sequential Patterns
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Mining Heterogeneous Multidimensional Sequential Patterns
... In our approach, we aim at providing an approach that extract rules such as: “After buying an article from the fruit category from supermarket A, a customer will buy two articles from the Egg and Dairy products and ... Voir le document complet
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Spatio-Temporal Data Classification Through multidimensional Sequential Patterns: Application to Crop Mapping in Complex Landscape
... the mining process allow discriminating patterns to be discovered in each class ? Does the texture data allow better extraction of discriminating patterns than only considering NDVI values? Does the ... Voir le document complet
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Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape
... Since sequential pattern mining uses discrete data, we used the equi-width discretization method to discretize the time-series ...extracted patterns having the highest ...noisy patterns, ... Voir le document complet
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Healthcare trajectory mining by combining multidimensional component and itemsets
... warehouses, every bit of information is associated with a timeline describing a total order over events. This total ordering introduces complexity in the extrac- tion process. Many efficient approaches were developed to ... Voir le document complet
16
Sequential generation of two distinct synapse-driven network patterns in developing neocortex.
... activity patterns that participate in circuit ...both patterns coexisting for a restricted time period. These patterns markedly differ by their developmental profile, dynamics, and mechanisms: ENOs ... Voir le document complet
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A Relaxation-based Approach for Mining Diverse Closed Patterns
... pattern mining has moved from a slow-moving re- peated three-step process to a much more agile iterative/user-centric mining ...verse patterns to the ...user-centric mining due to its rich ... Voir le document complet
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Mining usage patterns in residential intranet of things
... rule mining for traditional market basket analysis considered by previous works, to analyze indi- vidual device logs of home ...on multidimensional patterns mining framework, we extract ... Voir le document complet
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HASAR : mining sequential association rules for atherosclerosis risk factor analysis
... It extracts sequential association rules which are well tted to analyse casualty relation- ships between behavioural changes and RF evolutions or CVD development. Association rule extraction, rst introduced in ... Voir le document complet
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Spatio-Temporal data mining: From big data to patterns
... Colocation mining methods extract set of features which frequently appear in close objects without taking into account the temporal ...mined patterns do not match the spatial complexity encountered when ... Voir le document complet
3
Discovery of Unexpected Sequences: from Sequential Patterns to Implication Rules
... effective sequential pat- tern mining algorithms [AS95, SA96b, MCP98, GRS99, PHMAP01, Zak01, AFGY02, YHA03, PHMA + 04, WH04, LLT07, PHW07, WHL07, RCP08, ...With sequential pattern mining, we ... Voir le document complet
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Mining Object Movement Patterns from Trajectory Data
... 8.4 Discussion In this chapter, we propose a system, M ULTI _M OVE , which is designed to automatically and efficiently extract different kinds of spatio-temporal patterns at the same time. Start- ing from these ... Voir le document complet
180
Partial orders and logical concept analysis to explore patterns extracted by data mining
... all patterns that are more specific than p are thus ...all patterns displayed. Thus, p and all more specific patterns than p are tagged as LinguisticPattern, ...linguistic patterns. In order ... Voir le document complet
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Discovering novelty in sequential patterns: application for analysis of microarray data on Alzheimer disease
... Our contribution is three-fold: i We first help biologists select relevant sequences according to a specific topic and then to identify both popular genes often available in the literatu[r] ... Voir le document complet
7
Model Mining of Multivariate Heterogeneous Time-Varying Data using Heterogeneous Neurons: Its Potential in the Study of Geological Hazards
... The simulation was purposely designed to make the detection difficult, but nevertheless, these results are very preliminary. They show, however, that if the dependency models are considered as random variables , an ... Voir le document complet
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All in One: Mining Multiple Movement Patterns
... One: Mining Multiple Movement Patterns ...movement patterns in recent years, different approaches have been proposed to extract ...on mining a specific kind of ...manage patterns, it is ... Voir le document complet
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On the distribution of sequential jobs in random brokering for heterogeneous computational grids
... way sequential jobs are distributed and the system behaves in a heterogeneous computational grid environment where the brokering is done in such a way that each Computing Element has a probability to be ... Voir le document complet
27
Interaction in Progressive Visual Analytics. An application to progressive sequential pattern mining
... frequent patterns found per second and the number of candidates checked per ...frequent patterns, the table includes the number of candidates that need to be checked and that have already been checked, an ... Voir le document complet
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Urban Activity Patterns Mining in Wi-Fi Access Point Logs
... 1.1 Definition and Concepts Using data from pervasive and ubiquitous networks for mobility studies is an emerging area of research (Cao et al., 2015). Munizaga and Palma (2012), Kusakabe and Asakura (2014), Long and ... Voir le document complet
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Beyond Contagion: Reality Mining Reveals Complex Patterns of Social Influence
... Our methodology quantified complex patterns of social influence that go beyond the conta- gion metaphor [ 21 , 27 ]. The associations we identified between social-situational aspects and transition probabilities ... Voir le document complet
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Dramatically reducing search for high utility sequential patterns by maintaining candidate lists
... data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the ...identify patterns of ... Voir le document complet
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