multi-dimensional data model
The advantages of multi dimensional data model – A case study
... to Data Cubes, a Multi-dimensional Data Model comes into ...A data warehouse was based on a multi-dimensional ...scalable model for online Distributed ...
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Multi-dimensional model order selection
... complex-valued data obeys additional symmetry relations that can be exploited to enhance resolution and ...sampling data uniformly or on centro-symmetric grids, the corresponding r-mode subspaces are ...
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Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data
... a data-driven method for fraud detection based on comparative research, fraud cases, and literature ...Unsupervised data mining techniques such as outlier detection are suggested as effective predictors for ...
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Drug Extraction from the Web: Summarizing Drug Experiences with Multi Dimensional Topic Models
... our data set contains 12K messages with one of the tags in Table 1 and 30K ...to model other drugs as well, because this will help to learn parameters for the various aspects and routes of ...Our ...
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Multi Layer, Multi Dimensional and Multi Granularity Network Model to Measure Network Security
... On the other hand, different from the resource distribution dimension, resource acquisition dimension has emphasis on the maximum amount of resources available to an attacker after the successful invasion. In this ...
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How To Manage Multi-Dimensional Building Performance Data Management
... monitoring data to generate actionable information that can assist in achieving a higher level of building ...a multi-dimensional data analysis concept for building monitoring ...the ...
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Generating multi-level of details for three-dimensional building model using terrestrial laser scanning data
... Though TLS produces point clouds directly after scanning the object, to obtain a 3D model, it is still required to be processed. Point cloud contains very rich of geometric details and a large number of polygonal ...
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An Analysis on Density Based Clustering of Multi Dimensional Spatial Data
... the data are uncovered and the weights are adjusted accordingly. The model was first described by the Finnish professor Teuvo Kohonen and is thus sometimes referred to as a Kohonen ...
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An online analytical processing multi-dimensional data warehouse for malaria data
... predictive data. Predictive data may traverse the ‘past’ and the ...‘past’ data allow users to fill in missing historical data, to compare outputs from the stochastic models, and to validate ...
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Multi dimensional data scaling – dynamical cascade approach
... a multi-dimensional data scaling approach is proposed in data mining and knowledge discovery ...physics model computation in the free energy ...various data sets, such as with ...
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DATA MINING DATA WAREHOUSING: ANALYSIS OF APPLICATIONS MEASURES OF MULTI DIMENSIONAL MOVING DATA OBJECTS THROUGH TRAJECTORY DATA WARE HOUSE
... [10] Cabibbo, L., & Torlone, R. (2008). A Logical Approach to Multidimensional Data bases. In H. Schek, F. Saltor, I. Ramos, G. Alonso (Eds.), Proceedings of 6 th International Conference on Extending ...
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MVPA-Light: a classification and regression toolbox for multi-dimensional data
... • Cross-validation. To obtain a realistic estimate of classification or regression performance and control for overfitting, a model should be tested on an independent dataset that has not been used for training. ...
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Multi-dimensional mining of unstructured data with limited supervision
... the model to find topics that have complex and non-Gaussian distributions ...a multi- nomial distribution over the latent topics that generate ...also model global-level spatiotemporal activities ...
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A multi dimensional database model for research performance analysis
... efficient data warehouse need to analyze business processes, business environment and also ...After data warehouse logical schema is obtained, set it up through the application of transformation into the ...
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Lasso model selection in multi-dimensional contingency tables?
... We now present the results of analysing a set of obesity data comprising 8 binary comorbidities measured on n = 5550 patients. The resulting con- tingency table has 2 8 cells of which 45.3% are zero cells. We ...
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Evaluating multi-sensors data for the development of three-dimensional photo realistic model of archaeological site documentation
... geometric model of the ...geometrical model is the edges of the model and therefore, Grussenmeyer et ...photogrammetry, data from the scanner itself can be used to overcome the ...
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Classification Of High Dimensional Big Data In Distributed Computing Environment Using Fusion Based Learning
... Big Data, with its multi-model, high-dimensional and heterogeneous features, can portray a certain item from distinct attributes or viewpoints[2],[11] the search for loud and redundant ...
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A Multi Dimensional Trust Model for Heterogeneous Contract Observations
... and data fusion, and we use the Kalman filter to combine these heterogeneous contract ...the data fusion literature such as the gating of incon- sistent estimates and the elimination of rumour propagation ...
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Key Dimensions and Validity of the Chinese Version of the Individualism Collectivism Scale
... four-factor model was the best fit of the data across gender and age, thus supporting the multi-dimensional perspective of horizontal and vertical indi- vidualism and ...
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INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK
... testing data set into either the positive vector group or the negative vector group in a distributed network environment in Figure 12 as follows: Based on the creating a basis English sentiment dictionary (bESD) ...
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