Cloud computing in data mining – a survey

Nekvapil, Viktor

doi:10.20470/jsi.v6i1.217

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…There are four key cloud computing deployment models, namely, private cloud, community cloud, public cloud, and hybrid cloud (Nekvapil, 2015;Kumar, 2013). Private clouds allow the cloud infrastructure to be deployed exclusively for use by a single organization.…”

Section: Cloud Computingmentioning

confidence: 99%

Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Vajjhala¹,

Ramollari²

2016

Eur. j. econ. bus. stud.

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Big Data has been listed as one of the current and future research frontiers by Gartner. Large-sized companies are already investing on and leveraging big data. Small-sized and medium-sized enterprises (SMEs) can also leverage big data to gain a strategic competitive advantage but are often limited by the lack of adequate financial resources to invest on the technology and manpower. Several big data challenges still exist especially in computer architecture that is CPU-heavy but I/O poor. Cloud computing eliminates the need to maintain expensive computing hardware and software. Cloud computing resources and techniques can be leveraged to address the traditional problems associated with fault tolerance and low performance causing bottlenecks to using big data. SMEs can take advantage of cloud computing techniques to avail the advantages of big data without significant investments in technology and manpower. This paper explores the current trends in the area of big data using cloud resources and how SMEs can take advantage of these technological trends. The results of this study will benefit SMEs in identifying and exploring possible opportunities and also understanding the challenges in leveraging big data.

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Section: Cloud Computingmentioning

confidence: 99%

Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Vajjhala¹,

Ramollari²

2016

Eur. j. econ. bus. stud.

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“…Meanwhile, cloud computing is crucial to the future development of the smart grid. Cloud computing is also used in many fields, such as image processing (Puthal et al, 2015), intelligent transportation (Bitam and Mellouk, 2013) and intelligent medical (Bhavani et al, 2015), data mining (Nekvapil, 2015). In addition, the distributed system is also becoming increasingly important, which is suitable for large amount of data calculation, and the calculation speed is greatly improved.…”

Section: Introductionmentioning

confidence: 99%

Outlier detection of time series with a novel hybrid method in cloud computing

Liu

Wang

Liu

et al. 2019

IJHPCN

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In the wake of the development in science and technology, cloud computing has obtained more attention in different field. Meanwhile, outlier detection for data mining in cloud computing is playing significant role in different research domains and massive research works have devoted to outlier detection. However, the existing available methods spend high computation time. Therefore, the improved algorithm of outlier detection, which has higher performance to detect outlier, is presented. In this paper, the proposed method, which is an improved spectral clustering algorithm (SKM++), is fit for handling outliers. Then, pruning data can reduce computational complexity and combine distance-based method Manhattan distance (dist m) to obtain outlier score. Finally, the method confirms the outlier by extreme analysis. This paper validates the presented method by experiments with a real collected data by sensors and comparison against the existing approaches, the experimental results turn out that our proposed method precedes the existing.

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A Study On Implementation of Cloud Computing Technology using Data Mining Algorithms

Almtrf

Zohdy

2018

2018 International Conference on Advanced Science and Engineering (ICOASE)

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Cloud computing in data mining – a survey

Cited by 5 publications

References 12 publications

Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Outlier detection of time series with a novel hybrid method in cloud computing

A Study On Implementation of Cloud Computing Technology using Data Mining Algorithms

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