multi-dimensional data
The advantages of multi dimensional data model – A case study
... using multi-dimensional data models. In relational data model we view the relation between data in two dimensions in the form of rows and columns, across multiple tables using ...the ...
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MFNR: Multi-Frame Method for Complete Noise Removal of all PDF Types in Multi-Dimensional Data using KDE
... 3D data of colored images. General MFNR Algorithm can be extended to multi- dimensional data of all types of ...noisy data which is difficult to ...
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A Perceptual Visualization Assistant for Multi-Dimensional Data Visualization
... Multi-dimensional data visualization is the display of multiple data elements simulta- neously in a single display using several visual ...features. Multi-dimensional ...
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Multi-Dimensional data Extraction using Iterative Dichotomiser 3 Algorithm
... Approaches Multi-dimensional data analysis and online analytical processing are standard querying techniques applied on today’s data ...warehouses. Data mining algorithms, on the other ...
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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 ...various data sets, such as with the image motion sequences, and with the high ...
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An Efficient Multi-Dimensional Data Analysis over Parallel Computing Framework
... large data sets reliably, and to stream those data sets at high bandwidth to user ...Big Data have realized the need for fast, interactive queries besides the traditional Hadoop ...Big ...
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KNN Optimization for Multi-Dimensional Data
... of data collection and analysis in the marketplace, it becomes apparent that the traditional KNN algorithm does not scale well when handling today’s increasingly large ...
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MVPA-Light: a classification and regression toolbox for multi-dimensional data
... a multi-subject, multi-modal face processing dataset wherein subjects viewed images of famous faces, familiar faces, or scrambled ...MEEG data was preprocessed using ...Subsequently, data was ...
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TimeSpan: Using Visualization to Explore Temporal Multi-dimensional Data of Stroke Patients.
... the data led them to raise many new questions based on their increased understanding of their collected ...the data they were interested to see that by sorting the patients based on their age with the ...
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Lung cancer classification using data mining and supervised learning algorithms on multi-dimensional data set
... tools, and those that rely on representation learning and data mining. Nodule detection generally relies on image segmentation techniques. Traditional image processing techniques make use of intensity and ...
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An online analytical processing multi-dimensional data warehouse for malaria data
... science-focused data storage systems (databases and DW) exist to support the data needs of various diseases ...malaria-related data, which may serve as the equivalent of a malaria decision support ...
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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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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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A universal and multi-dimensional model for analytical data on geological samples
... alytical data, various geoanalytical databases have been es- tablished over the last 30 ...years. Data models, which form the core of a database, are themselves the subjects of in- tensive ...studies. ...
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Multi-dimensional geospatial data mining in a distributed environment using MapReduce
... [2]. Multi spectral and multi-dimensional data is usually available in form of multi-band georeferenced tagged image file format (GeoTIFF) files, an extension of TIFF ...raster ...
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Dimensional Data Modeling
... of data -- every relationship between Region and Territory is exponentially duplicated for every Metro Area, Community, and ...Store. Data Sharing: To get optimal performance, some implementations of the ...
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HIERARCHICAL CLUSTERING BASED MULTI-DIMENSIONAL POLYGON REDUCTION ALGORITHM FOR LARGE SPATIAL DATA
... In this paper, a Hierarchical Clustering based multi dimensional polygon reduction algorithm for large spatial data sets is proposed. The concept of hierarchical clustering to produce a hierarchy of ...
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Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers
... C 2 and C 3 are stable over time, which means that there is no concept drift for both variables.. abrupt and gradual concept drifts could be detected for variables C1 and C4, respectiv[r] ...
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A Generic Multi-Dimensional Run-Time Data Structure for High-Performance Scientific Computing
... Serialization refers to the process of storing and retrieving the elements of a data structure. Typically, input/output mechanisms utilize serialization processes, as, for example, a matrix is written to a file. ...
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Two-Dimensional Arrays. Multi-dimensional Arrays. Two-Dimensional Array Indexing
... Create 2 arrays, currentGen and nextGen Read in the initial generation into currentGet Read in the number of generations to simulate Print the current generation. For the specified numb[r] ...
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