Enhancement of Performance and Economy of Data Centers by Virtualization

Marella, Surya Teja; KARTHIKEYA, KONATHALA KARTHIKEYA; Kushwanth, V Sai; Bezawada, Akhila

doi:10.5013/ijssst.a.19.06.09

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“…It is a methodology that tries to amplify diverse over the pinnacle dimensional vectors to a decrease dimensionality area while maintaining estimations among them [2]. The AI and certainties mining strategies may not be compelling for highdimensional realities in attitude at the scourge of dimensionality and inquiry accuracy and adequacy will degrade quick in view of the estimation increases [3]. The Dimension decline is used for 1) Visualization: To projection of high-dimensional measurements onto 2D or 3D.…”

Section: Literature Surveymentioning

confidence: 99%

Bigdata and Machine Learning Models for Dimentionality Reduction Platform

2020

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Various machine learning, cloud computing and big data models are most utilized control parameters in software applications. Therefore these systems are most demand at current trending decades. But these models are needs very low data access time, speed for process. Day to day life data storage servers and devices are costly and hardware complex, so dimensionality is increases with rapid manner. Any type of optimization techniques access takes more time consumption for high dimensional data. So, more applications related problems are occurs only at high dimensional data space does not at low space dimensional data. In this research proposes a dimensional reduction technique with Logistic regression (LR) model. This LR model is most helpful for dimensional reduction and clustering problems. LRML method has reduced the dimensional data size and achieved thee efficiency by 95.3% and ratio of reduction by 35.76%.

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Section: Literature Surveymentioning

confidence: 99%

Bigdata and Machine Learning Models for Dimentionality Reduction Platform

2020

jcr

View full text Add to dashboard Cite

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Enhancement of Performance and Economy of Data Centers by Virtualization

Cited by 1 publication

References 0 publications

Bigdata and Machine Learning Models for Dimentionality Reduction Platform

Bigdata and Machine Learning Models for Dimentionality Reduction Platform

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