Results 71 to 80 of about 54,566 (190)
Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework
ISPRS International Journal of Geo-Information, 2019 The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model.
Junfeng Kang +3 more
doaj +1 more source
Aspect-based classification of product reviews using Hadoop framework
Cogent Engineering, 2020 The advancement of e-commerce along with the quick development of product review discussion in the most recent decade, an enormous measure of sentiment data or reviews are produced which made it practically difficult for a customer to take an educated ...
Anisha P. Rodrigues +2 more
doaj +1 more source
Processing Large Amounts of Images on Hadoop with OpenCV [PDF]
, 2015 Modern image collections cannot be processed efficiently on one computer due to large collection sizes and high computational costs of modern image processing algorithms. Hence, image processing often requires distributed computing.
Epanchintsev, T., Sozykin, A.
core
Measuring the Optimality of Hadoop Optimization [PDF]
arXiv, 2013 In recent years, much research has focused on how to optimize Hadoop jobs. Their approaches are diverse, ranging from improving HDFS and Hadoop job scheduler to optimizing parameters in Hadoop configurations. Despite their success in improving the performance of Hadoop jobs, however, very little is known about the limit of their optimization ...
arxiv
IEEE Access, 2018 Hadoop framework has been evolved to manage big data in cloud. Hadoop distributed file system and MapReduce, the vital components of this framework, provide scalable and fault-tolerant big data storage and processing services at a lower cost.
Durbadal Chattaraj +5 more
doaj +1 more source
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
Survey on Improved Scheduling in Hadoop MapReduce in Cloud Environments [PDF]
arXiv, 2012 Cloud Computing is emerging as a new computational paradigm shift. Hadoop-MapReduce has become a powerful Computation Model for processing large data on distributed commodity hardware clusters such as Clouds. In all Hadoop implementations, the default FIFO scheduler is available where jobs are scheduled in FIFO order with support for other priority ...
arxiv
HADEC: Hadoop-based live DDoS detection framework
EURASIP Journal on Information Security, 2018 Distributed denial of service (DDoS) flooding attacks are one of the main methods to destroy the availability of critical online services today. These DDoS attacks cannot be prevented ahead of time, and once in place, they overwhelm the victim with huge ...
S. Hameed, U. Ali
semanticscholar +1 more source
An Experimental Evaluation of Performance of A Hadoop Cluster on Replica Management [PDF]
arXiv, 2014 Hadoop is an open source implementation of the MapReduce Framework in the realm of distributed processing. A Hadoop cluster is a unique type of computational cluster designed for storing and analyzing large data sets across cluster of workstations. To handle massive scale data, Hadoop exploits the Hadoop Distributed File System termed as HDFS. The HDFS
arxiv
Positive and negative association rule mining in Hadoop’s MapReduce environment
Journal of Big Data, 2019 In this paper, we present a Hadoop implementation of the Apriori algorithm. Using Hadoop’s distributed and parallel MapReduce environment, we present an architecture to mine positive as well as negative association rules in big data using frequent ...
S. Bagui, Probal Chandra Dhar
semanticscholar +1 more source