Recent Trends in Programming languages
Volume 6, Issue 3 (2019)
Published
Table of contents
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Neural Network Machine Learning Analysis for Noisy Data: R Programming
Abstract: Abstract: This review paper clearly discusses the compression between Neural Network Machine Learning Analysis for Noisy Data: R Programming. Although there is large gap between data analysis to analyze overfitting and multicollinearity problems in data sets. Its primary purpose is to explain the machine learning procedures using neural network whose data structure were cross validation using R software whose outputs were sufficiently explain with various intermediate output and graphical interpretation …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 1–10 Read article
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Food Maza: Online Platform to Buy Food Items
Abstract: Abstract: With this application, customers can purchase the food products with the help of web by sitting at home. Normally the client whenever they need to eat something, they should visit the places, and they wish to buy the things they do the payment and get the food to the home. To beat this manual visit to the restaurants we can utilize this application for all intents and purposes and …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 11–15 Read article
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Smart Grid use to Build Up the Communication Infrastructure
Abstract: Abstract: The Smart Grid of things to come, while expected to influence all territories of the electric power system, from generation, to transmission, to distribution, cannot work without a broad information correspondence framework. Smart Grid can possibly bolster abnormal amounts of Distributed Generation (DG); anyway, the present measures overseeing the interconnection of DG do not permit the usage of a few applications which might be gainful to the framework. This …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 16–25 Read article
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Big Data Technology: Valuable Impact of Big Data on Library and Information Science
Abstract: Abstract: With the advancement of technology Big data is an important technology with vast amount of data storing in it and used in library and information science. In recent time Big data technology is necessary requirement for storing, accessing, retrieving, processing and regenerating new data. In digital era with the help of big data to store variety, volume, velocity, veracity and valuable data. The generating data in the form of …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 26–32 Read article
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Scalability Analysis of Semantic Relational Key Terms based Document Clustering Using Parsing Text Calcification
Abstract: Abstract: Document agglomeration, one among the standard info mining ways, is an unsupervised learning worldview wherever agglomeration techniques endeavor to tell apart-inborn groupings of the text documents, with the goal that a meeting of clusters is made during which clusters show high intra-cluster closeness and low bury cluster likeness. The importance of document agglomeration rises out of the big volumes of matter documents created. Albeit varied document agglomeration techniques are …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 33–40 Read article