Πλοήγηση ανά Θέμα "Big data"
Αποτελέσματα 1-20 από 44
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Application of data mining-based affinity propagation clustering algorithm for diagnosis of mechanical equipment transmission system
(2020)– Data mining techniques used to monitor and diagnose the faults of the transmission system of mechanical equipment, thereby promoting the development of big data analysis in the field of intelligent diagnosis. The Affinity ... -
Applying unsupervised and supervised machine learning methodologies in social media textual traffic data
(2019)Traffic increasingly shapes the trajectory of city growth and impacts on the climate change in modern cities. Traffic patterns’ monitoring can provide with innovative practices in understanding city traffic dynamics, ... -
Approximate kNN Classification for Biomedical Data
(2020)We are in the era where the Big Data analytics has changed the way of interpreting the various biomedical phenomena, and as the generated data increase, the need for new machine learning methods to handle this evolution ... -
Artificial Intelligence, Big Data Analytics, and Smart Cities
(2022)Modern urban life is seeing an increasing rate of adoption of artificial intelligence and smart solutions; however, citizens are still struggling to keep up the pace, and the rate at which they acquire skills and knowledge ... -
Biomedical Data Ensemble Classification using Random Projections
(2019)Biomedicine is undergoing a revolution driven by the explosion of biomedical data, which are generated by emerged medical imaging, sensor technologies and high-throughput technologies. An indicative example is the single ... -
Bulk-loading xBR+-trees
(2016)Spatial indexes are important in spatial databases for efficient execution of queries involving spatial constraints. The xBR+-tree is a balanced disk-resident quadtree-based index structure for point data, which is very ... -
Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics
(2021)While there has been a lot of effort in recent years in optimising Big Data systems like Apache Spark and Hadoop, the all-to-all transfer of data between a MapReduce computation step, i.e., the shuffle data mechanism between ... -
A communication-aware energy-efficient graph-coloring algorithm for VM placement in clouds
(2018)The problem of virtual machine (VM) consolidation has received a lot of attention over the past years. Most of the proposed techniques tackling the VM consolidation problem focus on energy consumption ignoring the network ... -
The contribution of open big data sources and analytics tools to sustainable urban mobility
(2019)Sustainable urban mobility is one of the top priorities in European Union and worldwide, as there is an intense tendency of population density increase in urban areas, which results in traffic, economic, environmental and ... -
Convolutional neural networks for toxic comment classification
(2018)Flood of information is produced in a daily basis through the global internet usage arising from the online interactive communications among users. While this situation contributes significantly to the quality of human ... -
A Covering Classification Rule Induction Approach for Big Datasets
(2015)With the ever increasing production of data from various heterogeneous sources in modern information societies, the need for scalable data-intensive processing is increasing. MapReduce quickly became the de facto framework ... -
Data collection from resource-limited wireless sensors for cloud-based applications
(2015)We consider a wireless sensor network (WSN) where each sensor node samples a random signal, places the digitized data in a buffer, and transmits the data to an access point (AP) through a wireless packet erasure communication ... -
A distributed data allocation scheme for autonomous nodes
(2018)The limited computational and storage capabilities of the devices interconnected in Internet of Things (IoT) make them to host only a sub-set of the the collected data. Every device, i.e., an IoT node, should keep only the ... -
Dynamic Cloud Resources Allocation on Multidomain/Multiphysics Problems
(2015)The solution of multidomain/multiphysics problems is a computationally and memory demanding process, especially for large-scale differential equations. In this paper, we propose a cloud application that provides users a ... -
An efficient algorithm for bulk-loading xBR+-trees
(2018)A major part of the interface to a database is made up of the queries that can be addressed to this database and answered (processed) in an efficient way, contributing to the quality of the developed software. Efficiently ... -
Efficient big data analysis on a single machine using apache spark and self-organizing map libraries
(2017)Apache Spark is commonly used as a big data analytical platform on powerful computer clusters, as it primarily employ the main computer memory for the evaluation. Our attempt adds self-organizing map software libraries ... -
Efficient change detection for high dimensional data streams
(2015)The recent technological advancements in cloud computing and the access in increasing computational power has led in undertaking the data processing derived by mobile devices. In particular, when these data are high ... -
An Efficient Time Optimized Scheme for Progressive Analytics in Big Data
(2015)Big data analytics is the key research subject for future data driven decision making applications. Due to the large amount of data, progressive analytics could provide an efficient way for querying big data clusters. Each ... -
Exploring the Big Data Usage in Transport Modelling
(2021)Continuous growth of information and the increasing volume of data with high coverage in space and time open up new possibilities in the field of transport planning. In recent years, there is great research interest in how ... -
Feature models for big data applications: Modeling big data applications by applying feature models
(2018)Modeling Big Data Applications is a key research topic for designing, analyzing, programming and deploying data-intensive applications, with high value and long-term trade-offs. The need for unified perspectives, architectures ...