Results 101 to 110 of about 54,414 (244)
Research on application of Hadoop in personnel positioning software system
Gong-kuang zidonghua, 2017 In order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce ...
WANG Wei
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Big Data solutions for law enforcement [PDF]
Big Data, the data too large and complex for most current information infrastructure to store and analyze, has changed every sector in government and industry.
core
A Framework for Genetic Algorithms Based on Hadoop
, 2013 Genetic Algorithms (GAs) are powerful metaheuristic techniques mostly used in many real-world applications. The sequential execution of GAs requires considerable computational power both in time and resources. Nevertheless, GAs are naturally parallel and
Ferrucci, F +4 more
core
Integrating R and Hadoop for Big Data Analysis [PDF]
, 2014 Analyzing and working with big data could be very diffi cult using classical means like relational database management systems or desktop software packages for statistics and visualization.
Dragoescu, Raluca Mariana +1 more
core +1 more source
Real-time Twitter data analysis using Hadoop ecosystem
Cogent Engineering, 2018 In the era of the Internet, social media has become an integral part of modern society. People use social media to share their opinions and to have an up-to-date knowledge about the current trends on a daily basis.
Anisha P. Rodrigues +1 more
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Вестник университета, 2018 The results of the study of the application of the Big Data technologies in calculating the consumer price index (CPI) has been presented. The object of the study is the state institution «Federal State Statistics Service» (ROSSTAT), the subject of the ...
A. Mikhajlova
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Hadoop MapReduce for Mobile Clouds
IEEE Transactions on Cloud Computing, 2019 The new generations of mobile devices have high processing power and storage, but they lag behind in terms of software systems for big data storage and processing.
Johnu George +3 more
semanticscholar +1 more source
kamila: Clustering Mixed-Type Data in R and Hadoop
, 2018 In this paper we discuss the challenge of equitably combining continuous (quantitative) and categorical (qualitative) variables for the purpose of cluster analysis. Existing techniques require strong parametric assumptions, or difficult-to-specify tuning
Alex Foss, M. Markatou
semanticscholar +1 more source
IEEE Access, 2019 Apache Spark and Hadoop are open source frameworks for big data processing, which have been adopted by many companies. In order to implement a reliable big data system that can satisfy processing target completion times, accurate resource provisioning ...
Jinbae Lee, Bobae Kim, Jong‐Moon Chung
semanticscholar +1 more source
A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem
Big Data Mining and Analytics, 2019 Big data analytics and data mining are techniques used to analyze data and to extract hidden information. Traditional approaches to analysis and extraction do not work well for big data because this data is complex and of very high volume.
Sunil Kumar, Maninder Singh
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