PivotalR: A Package for Machine Learning on Big Data

Qian, Hai

doi:10.32614/rj-2014-006

Cited by 9 publications

(4 citation statements)

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“…All the experiments are conducted on computers with Intel Core i7 CPU (2.13 GHz and 4 GB RAM). R statistical tool [13] is used to implement the algorithms. We evaluate the proposed method using a mixture of Google Cluster resource utilization [14], real world cloud QoS performance [15], and synthetic data.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Optimizing Long-term IaaS Service Composition

Mistry

Bouguettaya

Dong

et al. 2015

Service-Oriented Computing

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We propose a new economic model based optimization approach to compose an optimal set of infrastructure service requests over a long-term period. The service requests have the features of variable arrival time and dynamic resource and QoS requirements. A new economic model is proposed that incorporates dynamic pricing and operation cost modeling of the service requests. A genetic optimization approach is incorporated in the economic model that generates dynamic global solutions considering the runtime behavior of service requests. Experimental results prove the feasibility of the proposed approach.

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Section: Experiments and Resultsmentioning

confidence: 99%

Optimizing Long-term IaaS Service Composition

Mistry

Bouguettaya

Dong

et al. 2015

Service-Oriented Computing

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“…It provides data-parallel implementations of mathematical, statistical and machine-learning algorithms for structured and unstructured data. Therefore, PivotalR also enables a user to apply machine learning algorithms on big data (Qian, 2014).…”

Section: Methods Of Machine Learning and Big Datamentioning

confidence: 99%

Machine Learning in Big Data

Wang

2016

Int J Math, Eng, Manag Sci

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Machine learning is an artificial intelligence method of discovering knowledge for making intelligent decisions. Big Data has great impacts on scientific discoveries and value creation. This paper introduces methods in machine learning, main technologies in Big Data, and some applications of machine learning in Big Data. Challenges of machine learning applications in Big Data are discussed. Some new methods and technology progress of machine learning in Big Data are also presented.

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“…It provides data-parallel implementations of mathematical, statistical and machine-learning algorithms for structured and unstructured data. Thus PivotalR also enables the user to apply machine learning algorithms on big data [18].…”

Section: Methods Of Machine Learning and Big Datamentioning

confidence: 99%

Machine Learning in Big Data

Wang¹

2015

IJAAS

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<p>Machine learning is an artificial intelligence method of discovering knowledge for making intelligent decisions. Big Data has great impacts on scientific discoveries and value creation. This paper introduces methods in machine learning, main technologies in Big Data, and some applications of machine learning in Big Data. Challenges of machine learning applications in Big Data are discussed. Some new methods and technology progress of machine learning in Big Data are also presented.</p>

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PivotalR: A Package for Machine Learning on Big Data

Cited by 9 publications

References 1 publication

Optimizing Long-term IaaS Service Composition

Optimizing Long-term IaaS Service Composition

Machine Learning in Big Data

Machine Learning in Big Data

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