Efficient Data Mining Model Design for a Large Database in the Cloud Computing Environment

2015 ◽  
Vol 713-715 ◽  
pp. 2447-2450
Author(s):  
Zhan Kun Zhao
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Manifold Learning ◽  
Model Design ◽  
Large Database ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Efficient Data ◽  
Computing Environments ◽  
Mining Model

Efficient data mining model design for a large database in the cloud computing environment is studied. For large databases efficiently mining problem, an efficient data mining model in the cloud computing environment based on improved manifold learning algorithms is proposed. The use of nonlinear manifold learning algorithms is able to reduce dimensionality of data vector feature in cloud computing environments, through characteristic extraction module to preprocess data, improved classical manifold learning algorithm is adopted to increase the distance between the data of sample spread intensive area and shorten the distance between the data of sample spread sparse area, prompting even overall distribution of sample database under cloud computing environment, so as to achieve accurate mining for efficient data in cloud computing environment. The experimental results show that the proposed method can accurately mine target data under cloud computing environments, with high efficiency and precision.

Research on the Parallel Frequent Data Mining Strategy under the Cloud Computing Environment

2015 ◽  
Vol 719-720 ◽  
pp. 924-928 ◽  
Author(s):  
Xiao Chun Sheng ◽  
Xiao Feng Xue ◽  
Yan Ping Cheng
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Large Data ◽  
Efficient Solutions ◽  
Data Repository ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Item Data ◽  
Important Basis ◽  
Data Mining Strategy

Cloud computing is computing tasks distribution resources of a large number of computers in the subnet, to provide users with cheap and efficient computing power, storage capacity and service capabilities. Data mining is to find useful information in large data repository. Frequent flow of large amounts of data quickly and accurately find important basis for forecasting and decision, therefore, under the cloud computing environment parallelization frequent item data mining strategy to provide efficient solutions to store and analyze vast amounts of data has important theoretical significanceand application value.

scholarly journals Hybrid Cryptography based E2EE for Integrity & Confidentiality in Multimedia Cloud Computing

2019 ◽  
Vol 8 (10) ◽  
pp. 918-924
Keyword(s):  
Cloud Computing ◽  
Multimedia Data ◽  
Computing Environment ◽  
Computing Power ◽  
Cloud Computing Environment ◽  
Multimedia Cloud ◽  
Cloud Providers ◽  
High Level ◽  
And Storage ◽  
Cloud Users

Cloud Computing has become a desirable state for the mobile users by providing anytime and anywhere access to various services and resources. Likewisemultimedia data such as audio, images, video and gif files covers the maximum part of the network traffic, as most of the data shared, produced, processed and stored through numerous sources such as smart phones, computers, sensor networks, satellites, medical records etc. is of multimedia type. Such form of data requires huge computing power and storage capacities along with the major security constraints. Mobile devices with limited configuration and low computing powers are not able to match with the high level computing and manipulations required by costly multimedia softwares. That’s why demand for the Multimedia Cloud Computing came into frames. As multimedia data has distinct computing, storage and security constraints, this field has become anemerging and latest area of research. Many researches have also proposed separate architectures for Multimedia Cloud Computing. Security, integrity and confidentiality of private and secret media files is always a matter of stake for cloud users as well as for cloud providers. For multimedia cloud security concerns, cryptography is a guaranteed solution.This paper has discussed about the various needs and challenges faced by the multimedia cloud providers. This work has also proposed a hybrid cryptography algorithm based end-to-end encryption (E2EE) approach to maintain integrity and confidentiality in multimedia cloud computing environment. The second last section provides a performance analysis for the algorithm in terms of tables and graphs to justify the results

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