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BAMCloud: a cloud based Mobile biometric authentication framework
There has been an exponential increase in the number of users switching to mobile banking. Therefore, various countries are adopting biometric...
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Composition of weighted finite transducers in MapReduce
Weighted finite-state transducers have been shown to be a general and efficient representation in many applications such as text and speech...
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An improved chaotic image encryption algorithm using Hadoop-based MapReduce framework for massive remote sensed images in parallel IoT applications
Image encryption algorithms based on Chaotic approach are becoming increasingly popular for remotely sensed images using parallel techniques. It has...
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Mining Spatio-Temporal Sequential Patterns Using MapReduce Approach
Spatio-temporal sequential pattern mining (STSPM) plays an important role in many applications such as mobile health, criminology, social media,...
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Incremental mining of high utility sequential patterns using MapReduce paradigm
High utility sequential pattern (HUSP) mining considers the nonbinary frequency values of items purchased in a transaction and the utility of each...
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A Framework for Performance Optimization of Internet of Things Applications
A framework to support optimised application placement across the cloud-edge continuum is described, making use of the Optimized-Greedy Nominator...
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AQUA+: Query Optimization for Hybrid Database-MapReduce System
MapReduce has been widely recognized as an efficient tool for large-scale data analysis. It achieves high performance by exploiting parallelism among...
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Improvement of Makespan and TCTime in Dynamic Job Ordering and Slot Utilization for MapReduce Workloads
The amount of data generated in today's environment is increasing at an exponential rate. These data are structured, semi-structured, or unstructured...
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Efficient Entity Resolution for Bibliographic Data Using MapReduce
Entity resolution is a process to identify all objects/entities referring to the same real-world object. The standard process to extract matches is...
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Efficient k-dominant skyline query over incomplete data using MapReduce
Skyline queries are extensively incorporated in various real-life applications by filtering uninteresting data objects. Sometimes, a skyline query...
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DCE -miner: an association rule mining algorithm for multimedia based on the MapReduce framework
The amount of multimedia data has grown rapidly because of improvements in data collection and storage technologies. The association rule mining...
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Rainfall-Based Crop Selection Model Using MapReduce-Based Hybrid Holt Winters Algorithm
Holt Winters algorithm is one of the popular prediction models for time series forecasting models used in many areas. This paper introduces the...
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Comparative Analysis of Hadoop MapReduce and Spark Based on People’s Livelihood Appeal Data
In data research area, one of the most challenging issues is how to extract the key information from massive data with high efficiency. Hadoop and...
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A Workload-Aware Data Placement Scheme for Hadoop-Enabled MapReduce Cloud Data Center
Apache Hadoop is very well known platform to handle large amount of data which comes in different form and generate rapidly. A Mapreduce is the...
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An efficient big data classification using elastic collision seeker optimization based faster R-CNN
Big data is a large set of data that is analyzed with the calculation to manifest myriad sources. Big data is capable of handling various challenges...
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IoT Based ECG-SCG Big Data Analysis Framework for Continuous Cardiac Health Monitoring in Cloud Data Centers
In recent years, Internet of things (IoT) has gained popularity due to its application in diversified fields such as smart home monitoring, health...
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Effective Scheduler for Distributed DNN Training Based on MapReduce and GPU Cluster
Parallel training accelerates the Deep Neural Networks (DNN) training by parallel GPUs. While the in-memory data transmission becomes the cross-node...
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HybSMRP: a hybrid scheduling algorithm in Hadoop MapReduce framework
Due to the advent of new technologies, devices, and communication tools such as social networking sites, the amount of data produced by mankind is...
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PFIMD: a parallel MapReduce-based algorithm for frequent itemset mining
Frequent itemset mining (FIM) is a significant data mining technique which is widely adopted in numerous applications for exploring frequent items....
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Towards a Scalable Set Similarity Join Using MapReduce and LSH
Set similarity joins consists in computing all pairs of similar sets from two collections of sets. In this paper, we introduce an algorithm called...