Research ArticleOpen accessEvery word in the titleA Modified Key Partitioning for BigData Using MapReduce in HadoopGothai Ekambaram, Balasubramanie PalanisamyIn the period of BigData, massive amounts of structured and unstructured data are being created every day by a multitude of ever-present sources. BigData is complicated to work with and needs extremely parallel software executing on a huge number of computers. MapReduce is a current programming model that makes simpler writing distributed applications which manipulate BigData. In order to make … …Journal of Computer Science, Vol. 11, Issue 3 · 15 Apr 2015 · 6,858 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBig Data Characteristics, Architecture, Technologies and ApplicationsWisam A. Qader, Musa M. Ameen, Bilal Ismael AhmedBig Data is a vast volume of data that is not easy to be stored or processed with conventional approaches within a limited period. Therefore, to manage and extract value from it, a new architecture, method and analysis are needed. Big Data poses many challenges and problems and it has different properties such as volume, velocity, variety and veracity. The … …Journal of Computer Science, Vol. 16, Issue 6 · 22 Jun 2020 · 8,088 accessesView PDFCite
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
Literature ReviewOpen accessIn the keywordsOnline Traffic Measurement and Analysis in Big Data: Comparative Research ReviewLena T. Ibrahim, Rosilah Hassan, Kamsuriah Ahmad et al.The Internet traffic measurement and analysis is important to avoid many problems of data transferring via online networks such as data losing and slow data transferring. The Internet traffic measuring and analysis could be effective to avoid the data transferring challenges. The Internet traffic measuring and analysis flexibility is important due to many reasons such as dynamicity of transferred data … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 27 Apr 2016 · 7,711 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCircumventing Picture Archiving and Communication Systems Server with Hadoop Framework in Health Care ServicesGopinath Ganapathy, S. SagayarajProblem statement: Features and challenges of the PACS server solutions are elaborated in the context of large scale computing. Approach: Hadoop is a pivotal piece of the data mining renaissance offers the ability to tackle large data sets in ways that weren’t previously feasible and clarifies certain functionalities such as MapReducer and Hadoop distributed file system. Results: The PACS server … …Journal of Social Sciences, Vol. 6, Issue 3 · 30 Sep 2010 · 8,088 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBig Data and its Future in Computational Biology: A Literature ReviewIman Ahmed ElSayed, Kamal ElDahshan, Hesham Hefny, Eman Karam ElSayedBig data technologies are used majorly for computational biology research nowadays due to the emerge of massive amounts of biological data that have been generated and collected at an unprecedented speed and scale and with different structures. As an example, the processing of billions of DNA sequence data per day represents the new generation of sequencing technologies. It is expected … …Journal of Computer Science, Vol. 17, Issue 12 · 31 Dec 2021 · 6,598 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
Review ArticleOpen accessIn the keywordsConfluences among Big Data, Finite Element Analysis and High Performance ComputingLidong Wang, Guanghui Wang, Cheryl Ann AlexanderBig Data analyzes correlations from huge raw data and predicts outcomes. It has great impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs or software packages to complete complicated jobs quickly. Finite Element Method (FEM) is very powerful in scientific computation and engineering analysis. It has created huge values in almost every … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 15 Jul 2015 · 8,066 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