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Enabling Big Data Exploration in Dynamic Contexts

Ada Bagozi, Devis Bianchini, Valeria De Antonellis, Alessandro Marini, Davide Ragazzi
2018 Sistemi Evoluti per Basi di Dati  
While many approaches have been developed to investigate data analysis, data visualisation, data collection and management, the impact of big data exploration is still under-estimated.  ...  The approach relies on three main pillars: (i) a multi-dimensional model, that is suited for supporting the iterative and multi-step exploration of big data; (ii) novel data summarisation techniques, based  ...  Furthermore, we deal with data streams, in which data is collected in a fast and incremental way. We address these issues by applying incremental clustering techniques.  ... 
dblp:conf/sebd/BagoziBAMR18 fatcat:ydsrtwzmmzbp3fvmhethx4ipoa

The Big Data Processing Algorithm for Water Environment Monitoring of the Three Gorges Reservoir Area

Yuanchang Zhong, Liang Zhang, Shaojing Xing, Fachuan Li, Beili Wan
2014 Abstract and Applied Analysis  
In order to identify the water quality quickly and effectively, this paper presents a new big data processing algorithm for water quality analysis.  ...  of big data processing.  ...  Acknowledgments The authors acknowledge the following foundation items: the Scientific and Technological Project of Chongqing (no. cstc2012gg-yyjs40010) and the Natural Science Foundation of Chongqing  ... 
doi:10.1155/2014/698632 fatcat:woc7lew24jbyxinw33djgellvi

A Seismic Data Processing System based on Fast Distributed File System

Jun Li, Changsen Pan, Menghan Lu
Big data has attracted an increasingly number of attentions with the advent of the cloud era, and in the field of seismic exploration, the amount of data created by seismic exploration has also experienced  ...  In this case, it is necessary to build a highly-effective system of data storage and process.  ...  In our work, we carry out our research on Fast DFS, and create a distributed file system aiming at processing seismic data in order to achieve the goal of highly-effective storage and big data read performance  ... 
doi:10.24297/ijct.v14i5.3986 fatcat:rmsk6s3e4bhs7ci2bbfltsonxm

5G-Oriented IoT Big Data Analysis Method System

Lei Hu, Xianling Xia, Sang-Bing Tsai
2021 Mobile Information Systems  
and storage in the big data environment.  ...  Experimental results show that this article compares TSBPS and direct writing methods. The maximum write speed increased by 79%, and the average write speed increased by 42%.  ...  integration of big data and the Internet of ings. e resulting new applications explored the big data technology framework in the Internet of ings.  ... 
doi:10.1155/2021/3186696 fatcat:y3txkqphvjag7iy2d3ls2465xe

Big Data Analytics: A Perspective View

Suman Pandey
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
These are certainly useful to companies or organizations by gaining richer and deeper insights to compete in market.  ...  Big data is a term coined for massive data sets with more varied and complex structure and also having the difficulties of storing, analysing and visualizing it for further usages.  ...  As directly connected to main Big data stores provided with a SQL interface or not it explores large scale data by HTML5.  ... 
doi:10.23956/ijarcsse/sv7i5/0237 fatcat:mq75vo3n4rbihnc43mtpktzrru

Survey on Big Data Mining Algorithms

Anushree Raj
2019 International Journal for Research in Applied Science and Engineering Technology  
Technology revolution has been facilitating millions of people by generating tremendous data, resulting in big data.  ...  This survey paper includes the information about what is big data, big data sources, Data mining, Big data mining and the challenges.  ...  Big data is voluminous and has large-volume of data coming from heterogeneous, independent sources with dispersed and decentralized control, and attempts to find and explore complex and evolving relationships  ... 
doi:10.22214/ijraset.2019.6234 fatcat:dgcttowerjdkxhu334janvz5z4


Mudassir Makhdoomi
2017 International Journal of Advanced Research in Computer Science  
In this paper we are discussing some of the major challenges and issues posed by big data and the potential solution to those challenges.  ...  Everyone is talking about big data, and it is believed that science, business, industry, government, society, etc. will undergo a thorough change with the influence of big data.  ...  in a fast and effective manner.  ... 
doi:10.26483/ijarcs.v8i7.4032 fatcat:5okpnzi6s5atjmn54cez4vu77a

Spatiotemporal Traffic Analysis using Big Data

Anandakumar H, Abishek Sailesh, Muthumeenal C, Visalakshi S, Muthumani K
2020 International journal of advanced information and communication technology  
data due to the fact that traffic situations are numerous and changing over time.  ...  The proposed algorithm is online predictor of real-time traffic, the global prediction is achieved with less convergence time .The distributed scenarios (traffic data and context data) are collected together  ...  INTRODUCTION Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn't fit the strictures of your database architectures.  ... 
doi:10.46532/ijaict-2020010 fatcat:jai2bptqcfc35azckrls23ck24

NewSQL: Towards Next-Generation Scalable RDBMS for Online Transaction Processing (OLTP) for Big Data Management

A. B. M. Moniruzzaman
2014 International Journal of Database Theory and Application  
Today, classic RDBMS are complemented by a rich set of alternative Data Management Systems (DMS) specially designed to handle the volume, variety, velocity and variability of Big Data collections; these  ...  One of the key advances in resolving the "big-data" problem has been the emergence of an alternative database technology.  ...  Background "Big Data" is typically considered to be a collection of huge data in very high volume, variety and velocity in nature that can not be effectively or affordably managed with conventional data  ... 
doi:10.14257/ijdta.2014.7.6.11 fatcat:hbyj4wfjbjewvmrufh3n2lmu54

Swarm Intelligence in Big Data Analytics [chapter]

Shi Cheng, Yuhui Shi, Quande Qin, Ruibin Bai
2013 Lecture Notes in Computer Science  
Based on the combination of swarm intelligence and data mining techniques, we can have better understanding of the big data analytics problems, and designing more effective algorithms to solve real-world  ...  This paper analyses the difficulty of big data analytics problems and the potential of swarm intelligence solving big data analytics problems.  ...  The properties of big data analytics can be concentrated in three parts: large volume, variety of different sources, and fast increasing speed, i.e., velocity.  ... 
doi:10.1007/978-3-642-41278-3_51 fatcat:kcvmhmfjdjadre7kb5f34kh52q

Interactive Music Teaching Method Based on Big Data and Cloud Computing

Yinan Hao, Yanyi Rao
2022 Mobile Information Systems  
This paper aims to study the interactive music teaching method based on BD and CC, that is to design an interactive music teaching method based on big data and cloud computing technology, and conduct practical  ...  The advanced nature and effectiveness of interactive teaching methods make it more and more widely used in education, such as in the field of music teaching.  ...  V i represents the cluster center, and u ij on behalf of the degree to which the data point x i belongs to the cluster center. e distance from this data point to the cluster center can be concluded by  ... 
doi:10.1155/2022/1803497 fatcat:atp7jjgdwbabzjkswlxkgy5toi

A computational mechanics special issue on: data-driven modeling and simulation—theory, methods, and applications

Wing Kam Liu, George Karniakis, Shaoqiang Tang, Julien Yvonnet
2019 Computational Mechanics  
Principle of cluster minimum complementary energy of FEM-cluster-based reduced order method: fast updating the interaction matrix and predicting effective nonlinear properties of heterogeneous material  ...  ., discussed the principle of cluster minimum complementary energy of FEM-cluster-based reduced order method: fast updating the interaction matrix and predicting effective nonlinear properties of heterogeneous  ... 
doi:10.1007/s00466-019-01741-z fatcat:aon3rff43bgdbfjmow7r2csmza

A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools

D. P., Kauser Ahmed
2016 International Journal of Advanced Computer Science and Applications  
As a result, this article provides a platform to explore big data at numerous stages.  ...  The basic objective of this paper is to explore the potential impact of big data challenges, open research issues, and various tools associated with it.  ...  INTRODUCTION In digital world, data are generated from various sources and the fast transition from digital technologies has led to growth of big data.  ... 
doi:10.14569/ijacsa.2016.070267 fatcat:6g2xv2q4ijcvpgikxjzomgjc5a

Comparative Study of Record Linkage Approaches for Big Data

2021 Walailak Journal of Science and Technology  
This paper, hence, attempts to shed light on record linkage approaches for Big Data by comparing three dimensions involving record linkage phases, dataset properties, and parallel processing approach for  ...  It is believed that the focus of the present study on the dimensions of the parallel processing approaches for Big Data and dataset properties was worth exploring.  ...  fast manner even for a large or big dataset by applying some blocking approaches  ... 
doi:10.48048/wjst.2021.7221 fatcat:etnf63jobzhkpgad5z762pe4qm


Neelay Jagani, Parthil Jagani, Suril Shah
2021 International Journal of Engineering Applied Sciences and Technology  
Big Data and Cloud Computing are two of the most important technologies of the day.  ...  In this paper, we have discussed Big Data implementation and application in Cloud Computing. 4 V's in big data can be applied in Cloud computing to get better performance, higher input details, better  ...  Analysis and computation of big data: Fastness is the main thing when we look up for database in the big data.  ... 
doi:10.33564/ijeast.2021.v05i11.029 fatcat:2jf4oayz4rhqjp5zjof4amfzxu
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