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8 articles for “Hadoop Map and Hadoop Reduce”
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Research ArticleOpen accessIn the keywordsA Reformed K-Nearest Neighbors Algorithm for Big Data SetsVo Ngoc Phu, Vo Thi Ngoc TranA Data Mining Has Already Had Many Algorithms Which A K-Nearest Neighbors Algorithm, K-NN, Is A Famous Algorithm For Researchers. K-NN Is Very Effective On Small Data Sets, However It Takes A Lot Of Time To Run On Big Datasets. Today, Data Sets Often Have Millions Of Data Records, Hence, It Is Difficult To Implement K-NN On Big Data. In … …Journal of Computer Science, Vol. 14, Issue 9 · 8 Mar 2018 · 7,473 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEmerging Technologies for Driving Road Safety and Traffic Management for Urban AreaYogesh Golhar, Manali KshirsagarThe on-road traffic increases due to the exponential growth of the number of vehicles on the road. That leads to undesirable road conditions and makes urban population life uncomfortable. It includes traffic congestion, traffic jams and long queues at traffic signals and toll booths. Many people violate road traffic rules and regulations rules every day. Manual human effort and supervision … …Journal of Computer Science, Vol. 17, Issue 11 · 30 Nov 2021 · 6,444 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnglish Sentiment Classification using Only the Sentiment Lexicons with a JOHNSON Coefficient in a Parallel Network EnvironmentVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. In this survey, we have proposed a new model for Big Data sentiment classification. We use many sentiment lexicons of our basis English Sentiment Dictionary (bESD) to classify 5,000,000 documents including 2,500,000 positive and 2,500,000 negative of our testing data set in English. … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,327 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBig Data in Design and Manufacturing EngineeringLidong Wang, Cheryl Ann AlexanderBig Data helps facilitate information visibility and process automation in design and manufacturing engineering. It also helps analyze trends through analytics and predict inventory, manufacturing output and equipment lifespan and cycles, etc. This paper introduces Big Data, its characteristics and a number of issues of Big Data in design and manufacturing engineering. These issues include design and manufacturing data, Big … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 2 · 25 Jun 2015 · 8,728 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CURE Algorithm for Vietnamese Sentiment Classification in a Parallel EnvironmentVo Ngoc Phu, Vo Thi Ngoc Tran, Jack MaxSolutions to process big data are imperative and beneficial for numerous fields of research and commercial applications. Thus, a new model has been proposed in this paper to be used for big data set sentiment classification in the Cloudera parallel network environment. Clustering Using Representatives (CURE), combined with Hadoop MAP (M) / REDUCE (R) in Cloudera – a parallel network … …Journal of Computer Science, Vol. 15, Issue 10 · 19 Apr 2018 · 7,437 accessesView PDFCite
Research ArticleOpen accessIn the abstractA STING Algorithm and Multi-dimensional Vectors Used for English Sentiment Classification in a Distributed SystemVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. Finding a fast, highly accurate solution to classify emotion has been a challenge for scientists. In this research, we have proposed a new model for Big Data sentiment classification in the parallel network environment - a Cloudera system with Hadoop Map (M) and … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,594 accessesView PDFCite
Research ArticleOpen accessIn the abstractProcessing Large Volume of Biometric Data in the Hadoop Single Cluster Node EnvironmentJayakumar Vaithiyashankar, Shohel Sayeed, Anang Muhammad AminIn big data evolution, the analysis of large scale data and scrutinizing the required vital information becomes very demanding task. The emerging cloud platform promises and gives hope in handling the enormous volume of data. Hence, a new kind of methodology is required to tap the full potential of leveraging the big data analytics over the biometric data. In this … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 27 Oct 2017 · 8,521 accessesView PDFCite
Research ArticleOpen accessIn the abstractMatching LSI for Scalable Information RetrievalRajagopal Palsonkennedy, T. V. GopalLatent Semantic Indexing (LSI) is one of the well-liked techniques in the information retrieval fields. Different from the traditional information retrieval techniques, LSI is not based on the keyword matching simply. It uses statistics and algebraic computations. Based on Singular Value Decomposition (SVD), the higher dimensional matrix is converted to a lower dimensional approximate matrix, of which the noises could … …Journal of Computer Science, Vol. 8, Issue 12 · 2 Jan 2013 · 6,668 accessesView PDFCite