Multidimensional sequential patterns
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 ...
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Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape
... the sequential pattern mining step, let Ti be a projected database and Dj ∈ Ti be one the static dimension in T i ...no sequential pattern can be extracted from Ti where a value of Dj ...one ...
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Spatio-Temporal Data Classification Through multidimensional Sequential Patterns: Application to Crop Mapping in Complex Landscape
... the sequential pattern mining step, let T i be a projected database and D j A T i be one of the static dimensions in T i ...no sequential pattern can be extracted from T i where a value of D j ...one ...
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OLAPing Reflexive Multidimensional Fact
... p FIG 2. Hierarchy of levels of tweets listed in Table 1 However, classical OLAP algebra does not provide solutions for handling navigation between levels of the fact’s instances since the multidimensional ...
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Coherent Multidimensional Poverty Measurement
... We suggest that the geometric mean can be interpreted as being a (hyperbolic) version of the “utilitarian” viewpoint. With this interpretation in mind, our family of indices builds a bridge between celebrated theories of ...
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On topology in multidimensional discrete
... Unite´ de recherche INRIA Lorraine, Technoˆpole de Nancy-Brabois, Campus scientifique, 615 rue de Jardin Botanique, BP 101, 54600 VILLERS LE`S NANCY Unite´ de recherche INRIA Rennes, IRI[r] ...
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Practical Multidimensional Branch Prediction
... Fig. 4: The Statistical Corrector predictor for TAGE-GSC with IMLI-based components can be incorporated into any of the two families of state- of-the-art branch predictors: the TAGE predictor family [6] and the ...
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Partial Multidimensional Inequality Orderings
... The method we develop and empirically apply is very much in the spirit of Amartya Sen’s conceptual framework for thinking of inequality. In that frame- work, it is important to make clear at the outset what one is ...
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Sequential Metric Dimension
... Again, sequential variants of the centroidal basis can naturally be de ned, where, at each step, the relative-distance vector of t obtained from the probing of the k vertices at that step is ...
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Multidimensional martingale optimal transport.
... Je dis également un grand merci à ma famille de thèse, le grand frère ainé Bruno Bouchard pour le jogging sous le soleil tunisien, Dylan Possamai pour avoir su montrer la voie et pour se[r] ...
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Sequential PDEVS Architecture
... tion used in adevs is a dynamic array backed by a hash table for retrieving specific items. The scheduler is based on an array-based binary heap and permits fast rescheduling [8]. PyPDEVS [9] was recently implemented ...
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Sequential Metric Dimension
... Moving target. Sequential games related to resolving sets have first been in- troduced and mainly studied in the case of a mobile target. That is, at every step, some vertices may be probed and, if the target has ...
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Multidimensional Poverty in Brazil
... other multidimensional indicators have been ...the Multidimensional Poverty Index (MPI) developed by ANAND and SEN (1997), which is based on dimensions and indicators that are similar to those of the HDI, ...
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OLAPing Reflexive Multidimensional Fact
... p FIG 2. Hierarchy of levels of tweets listed in Table 1 However, classical OLAP algebra does not provide solutions for handling navigation between levels of the fact’s instances since the multidimensional ...
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Multidimensional Generalized Gini Indices
... In this article, we follow the general approach of Tsui (1995), but con- sider a different set of axioms. We extend the axioms used by Weymark (1981) to characterize the generalized Gini social evaluation orderings for ...
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Sequential design for prediction Sequential design for prediction with Gaussian process models
... computational complexity proposed here does not come at the price of performance degra- dation. The structure of the paper is as follows. Section 2 recalls the definition of Mutual Infor- mation and remembers its ...
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Sequential algorithms as bistable maps
... of sequential function (originally due to Kahn and Plotkin [11]) requires a rather concrete, “algorithmic” definition of domain (here, sequential data ...
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Possibilistic sequential decision making
... to sequential decision making under uncertainty, where a suitable strategy is to be found, that associates a decision to each state of the ...for sequential decision problems, such as decision trees, ...
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Sequential Decision-Making under Non-stationary Environments via Sequential Change-point Detection
... detection. A typical example of such non-stationary problem is that of control of traffic lights. Depending on the time of the day, the traffic follows different “patterns” (e.g., rush hours v.s. non-rush hours). ...
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Managing Reduction in Multidimensional Databases
... {ravat|song|teste}@irit.fr Abstract. Dealing with large amount of data has always been a key focus of the Multidimensional Database (MDB) community, especially in the current era when data volume increases more ...
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