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User Interaction and Response-Based Knowledge Discovery Framework
The World Economic Forum in Davos in 2022 raised the issue of knowledge by describing the situation as follows: “It could be that we are drowning in...
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MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix
Fuzzy-rough set theory is an efficient method for attribute reduction. It can effectively handle the imprecision and uncertainty of the data in the...
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A novel three-factor authentication and optimal mapreduce frameworks for secure medical big data transmission over the cloud with shaxecc
Big Data (BD) is a concept that deals with enormous amounts of data storage, processing, and analysis. With the exponential advancement in the...
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Optimal instance subset selection from big data using genetic algorithm and open source framework
Data is accumulating at an incredible rate, and the era of big data has arrived. Big data brings great challenges to traditional machine learning...
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An integrated SDN framework for early detection of DDoS attacks in cloud computing
Cloud computing is a rapidly advancing technology with numerous benefits, such as increased availability, scalability, and flexibility. Relocating...
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HTDcr: a job execution framework for high-throughput computing on supercomputers
High-throughput computing (HTC) is a computing paradigm that aims to accomplish jobs by easily breaking them into smaller, independent components....
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TVD-MRDL: traffic violation detection system using MapReduce-based deep learning for large-scale data
Maintaining a fluid and safe traffic is a major challenge for human societies because of its social and economic impacts. Various technologies have...
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MapReduce FCM clustering set algorithm
Fuzzy C-means clustering integration algorithm is a method to improve clustering quality by using integration ideas, but as the amount of data...
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Ensemble clustering and feature weighting in time series data
Ensemble clustering is an important approach in machine learning, which combines multiple hypotheses to minimize the risk of selecting a wrong...
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Optimal urban competitiveness assessment using cloud computing and neural network
In the network economy domain, urban competitiveness refers to the comparison between cities in terms of competition and development. It is the...
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Cloud services cost comparison: a clustering analysis framework
As cloud computing has grown in popularity, several different models and deployment strategies have emerged, fulfilling specific needs of different...
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DiffPageRank: an efficient differential PageRank approach in MapReduce
Unstructured big data processing requires efficient computational styles to rapidly analyze continuously changing data. Incremental processing is a...
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Optimising Maritime Big Data by K-means Clustering with Mapreduce Model
During the management and operation, the maritime industry has collected a large amount of data in marine navigation, which has posed a great...
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Analyzing FOSS license usage in publicly available software at scale via the SWH-analytics framework
The Software Heritage (SWH) dataset represents an invaluable source of open-source code as it aims to collect, preserve, and share all publicly...
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Design cognitive IoT architecture framework for immersive visual technologies of air quality monitoring systems
Industry experts anticipate that Internet of Things (IoT)-based Immersive Visual Technologies (IVT) will revolutionize air quality applications....
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StreamFilter: a framework for distributed processing of range queries over streaming data with fine-grained access control
Access control is a fundamental component of any data management system, ensuring the prevention of unauthorized data access. Within the realm of...
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Scalable and Efficient Big Data Management and Analytics Framework for Real-Time Deep Decision Support
In data-driven world, organizations face challenges in managing and analyzing large volumes of data in real-time to make informed decisions. This...
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A heuristic method towards deadline-aware energy-efficient mapreduce scheduling problem in Hadoop YARN
The MapReduce (MR) scheduling is a prominent area of research to minimize energy consumption in the Hadoop framework in the era of green computing....
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Load Balancing Approach for a MapReduce Job Running on a Heterogeneous Hadoop Cluster
Hadoop MapReduce has become the de-facto standard in today’s Big data world to process the more prominent data sets on a distributed cluster of...
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Allocating MapReduce workflows with deadlines to heterogeneous servers in a cloud data center
Total profit is one of the most important factors to be considered from the perspective of resource providers. In this paper, an original MapReduce...
