Cloud Computing Environments Parallel Data Mining Policy Research
نویسندگان
چکیده
منابع مشابه
Efficient Data Mining with Evolutionary Algorithms for Cloud Computing Application
With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...
متن کاملefficient data mining with evolutionary algorithms for cloud computing application
with the rapid development of the internet, the amount of information and data which are produced, are extremely massive. hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. data mining can overcome this problem. while data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. as the speed of ...
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With the arrival of Big Data Time, the process of large-scale data has become the bottleneck problem in many fields. Data mining as a technology combines the traditional data analysis with the data processing algorithm help people get the available information, However, it will become a very long time-consuming process with increasing size of the input data. The cloud computing technology which...
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Cloud computing in data mining presents promising solution for businesses willing to analyse their data with lower costs or those companies which want to utilise their “big data”. In this survey, reasons for using cloud computing solutions in data mining are studied and respective tools corresponding to these reasons are evaluated. The emphasis is laid to functionality of the tools and the inte...
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The computing-intensive data mining for inherently Internet-wide distributed data, referred as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an effective scheduling framework. DDM often shares the computing paradigm of local processing and global synthesizing. It involves every phase of Data Mining (DM) processes, which makes the workflow of DDM very complex and c...
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ژورنال
عنوان ژورنال: International Journal of Grid and Distributed Computing
سال: 2015
ISSN: 2005-4262,2005-4262
DOI: 10.14257/ijgdc.2015.8.4.13