منابع مشابه
Solution Approaches for Big Data
Big Data becomes relevant for more and more organizations. They move to new fields of applications where large volumes of data are automatically and continuously generated at various data sources. Traditional IT meets its limitations when analyzing this data. How can you overcome the high level of complexity and the speed limitations? Various solution approaches have been successfully explored ...
متن کاملSolution Approaches for Big Data
Big Data becomes relevant for more and more organizations. They move to new fields of applications where large volumes of data are automatically and continuously generated at various data sources. Traditional IT meets its limitations when analyzing this data. How can you overcome the high level of complexity and the speed limitations? Various solution approaches have been successfully explored ...
متن کاملFeature Selection in Structural Health Monitoring Big Data Using a Meta-Heuristic Optimization Algorithm
This paper focuses on the processing of structural health monitoring (SHM) big data. Extracted features of a structure are reduced using an optimization algorithm to find a minimal subset of salient features by removing noisy, irrelevant and redundant data. The PSO-Harmony algorithm is introduced for feature selection to enhance the capability of the proposed method for processing the measure...
متن کاملSTRUCTURAL OPTIMIZATION USING BIG BANG-BIG CRUNCH ALGORITHM: A REVIEW
The big bang-big crunch (BB-BC) algorithm is a popular metaheuristic optimization technique proposed based on one of the theories for the evolution of the universe. The algorithm utilizes a two-phase search mechanism: big-bang phase and big-crunch phase. In the big-bang phase the concept of energy dissipation is considered to produce disorder and randomness in the candidate population while in ...
متن کاملData Mining Approaches for Geo-Spatial Big Data: Uncertainty Issues
The availability of a vast amount of heterogeneous information from a variety of sources ranging from satellite imagery to the Internet has been termed as the problem of Big Data. Currently there is a great emphasis on the huge amount of geophysical data that has a spatial basis or spatial aspects. To effectively utilize such volumes of data, data mining techniques are needed to manage discover...
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ژورنال
عنوان ژورنال: Nordicom Review
سال: 2019
ISSN: 2001-5119
DOI: 10.2478/nor-2019-0013