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big data analytics in Telecommunications: Literature Review and Architecture Recommendations

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IEEE/CAA Journal of Automatica Sinica 2020年第1期7卷 18-38页

作者： Hira Zahid Tariq Mahmood Ahsan Morshed Timos Sellis Faculty of Computer Science Institute of Business AdministrationKarachi 75270Pakistan School of Engineering and Technology CQUniversityMelbourne Victoria 3000Australia University of Technology Hawthorn VIC 3122Australia

This paper focuses on facilitating state-of-the-art applications of big data analytics(BDA) architectures and infrastructures to telecommunications(telecom) industrial *** companies are dealing with terabytes to petabytes of data on a daily basis. Io T applications in telecom are further contributing to this data deluge. Recent advances in BDA have exposed new opportunities to get actionable insights from telecom big data. These benefits and the fast-changing BDA technology landscape make it important to investigate existing BDA applications to telecom sector. For this, we initially determine published research on BDA applications to telecom through a systematic literature review through which we filter 38 articles and categorize them in frameworks, use cases, literature reviews, white papers and experimental validations. We also discuss the benefits and challenges mentioned in these articles. We find that experiments are all proof of concepts(POC) on a severely limited BDA technology stack(as compared to the available technology stack), i.e.,we did not find any work focusing on full-fledged BDA implementation in an operational telecom environment. To facilitate these applications at research-level, we propose a state-of-the-art lambda architecture for BDA pipeline implementation(called Lambda Tel) based completely on open source BDA technologies and the standard Python language, along with relevant *** discovered only one research paper which presented a relatively-limited lambda architecture using the proprietary AWS cloud infrastructure. We believe Lambda Tel presents a clear roadmap for telecom industry practitioners to implement and enhance BDA applications in their enterprises.

关键词： big data analytics BDA pipeline BDA technology stack lambda architecture python systematic literature review telecommunications

big data analytics with Optimal Deep Learning Model for Medical Image Classification

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Computer Systems Science & Engineering 2023年第2期44卷 1433-1449页

作者： Tariq Mohammed Alqahtani Department of Medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia

In recent years,huge volumes of healthcare data are getting generated in various *** advancements made in medical imaging are tremendous owing to which biomedical image acquisition has become easier and *** to such massive generation of big data,the utilization of new methods based on big data analytics(BDA),Machine Learning(ML),and Artiﬁcial Intelligence(AI)have become *** this aspect,the current research work develops a new big data analytics with Cat Swarm Optimization based deep Learning(BDA-CSODL)technique for medical image classiﬁcation on Apache Spark *** aim of the proposed BDA-CSODL technique is to classify the medical images and diagnose the disease ***-CSODL technique involves different stages of operations such as preprocessing,segmentation,fea-ture extraction,and classiﬁ*** addition,BDA-CSODL technique also fol-lows multi-level thresholding-based image segmentation approach for the detection of infected regions in medical ***,a deep convolutional neural network-based Inception v3 method is utilized in this study as feature *** Gradient Descent(SGD)model is used for parameter tuning ***,CSO with Long Short-Term Memory(CSO-LSTM)model is employed as a classiﬁcation model to determine the appropriate class labels to *** SGD and CSO design approaches help in improving the overall image classiﬁcation performance of the proposed BDA-CSODL technique.A wide range of simulations was conducted on benchmark medical image datasets and the com-prehensive comparative results demonstrate the supremacy of the proposed BDA-CSODL technique under different measures.

关键词： big data analytics healthcare deep learning image classiﬁcation biomedical imaging machine learning

big data analytics for Earth Sciences:the EarthServer approach

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International Journal of Digital Earth 2016年第1期9卷 3-29页

作者： Peter Baumann Paolo Mazzetti Joachim Ungar Roberto Barbera Damiano Barboni Alan Beccati Lorenzo bigagli Enrico Boldrini Riccardo Bruno Antonio Calanducci Piero Campalani Oliver Clements Alex Dumitrua,Mike Grant Pasquale Herzig George Kakaletris John Laxton Panagiota Koltsida Kinga Lipskoch Alireza Rezaei Mahdiraji Simone Mantovani Vlad Merticariu Antonio Messina Dimitar Misev Stefano Natali Stefano Nativi Jelmer Oosthoek Marco Pappalardo James Passmore Angelo Pio Rossi Francesco Rundo Marcus Sen Vittorio Sorbera Don Sullivan Mario Torrisi Leonardo Trovato Maria Grazia Veratelli Sebastian Wagner Large-Scale Scientific Information Systems Jacobs UniversityBremenGermany Rasdaman GmbH BremenGermany CNR-IIA National Research Council of ItalyInstitute of Atmospheric Pollution ResearchFlorenceItaly EOX IT Services GmbH ViennaAustria Consorzio COMETA CataniaItaly Division of Catania Italian National Institute for Nuclear PhysicsCataniaItaly Department of Physics and Astronomy University of CataniaCataniaItaly MEEO S.r.l. FerraraItaly Plymouth Marine Laboratory PlymouthUK Fraunhofer IGD DarmstadtGermany Athena Research and Innovation Center in Information Communication&Knowledge Technologies AthensGreece British Geological Survey EdinburghUK Software Engineering Italia S.r.l. CataniaItaly British Geological Survey KeyworthUK NASA Ames Research Center Moffett FieldCAUSA

big data analytics is an emerging field since massive storage and computing capabilities have been made available by advanced *** and Environmental sciences are likely to benefit from big data analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and ***,Earth Science data and applications present specificities in terms of relevance of the geospatial information,wide heterogeneity of data models and formats,and complexity of ***,big Earth data analytics requires specifically tailored techniques and *** EarthServer big Earth data analytics engine offers a solution for coverage-type datasets,built around a high performance array database technology,and the adoption and enhancement of standards for service interaction(OGC WCS and WCPS).The EarthServer solution,led by the collection of requirements from scientific communities and international initiatives,provides a holistic approach that ranges from query languages and scalability up to mobile access and *** result is demonstrated and validated through the development of lighthouse applications in the Marine,Geology,Atmospheric,Planetary and Cryospheric science domains.

关键词： big data big data analytics array databases Earth Sciences interoperability standards

big data analytics in E-commerce for the *** China Through Literature Reviewing

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Journal of Systems Science and Information 2021年第1期9卷 16-44页

作者： Weiqing ZHUANG Morgan C.WANG Ichiro NA KAMOTO Ming JIANG School of Internet Economics and Business Fujian Universily of TechnologyFuzhou 350108China Research Center for“One Belt and Road"Economic and Policy Frujian University of TechnologyFiuzhou 350108China College of Science University of Central rloridaFlorida 32525USA School of Internet Econormics and Business Furjian Universily of TechnologyPuzhou 350108China School of Internet Econormics and Business Irujian University of TechnologyPuzhou 350108China

big data analytics(BDA)in e-commerce,which is an emerging field that started in 2006,deeply affects the development of global e-commerce,especially its layout and performance in the *** *** paper seeks to examine the relative influence of theoretical research of BDA in e-commerce to explain the differences between the *** China by adopting a statistical analysis method on the basis of samples collected from two main literature databases,Web of Science and CNKI,aimed at the *** *** results of this study help clarify doubts regarding the development of China's e-commerce,which exceeds that of the ***,in view of the theoretical comparison of BDA in e-commerce between them.

关键词： big data analytics e-commerce U.S.and China literature review

big data analytics for Improving Financial Performance and Sustainability

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Journal of Systems Science and Information 2021年第2期9卷 175-191页

作者： Xiangyu ZHU Yang YANG School of Economics and Management Beijing University of TechnologyBeijing 100124China

In this study,the key drivers of sustainability commitment,green supply chain management,big data integration and green human resource practice are explored,and the impact of these sustainable capabilities on the environmental and financial performance of banks is also *** addition,the influence of green management practices on integrating big data technology into operations is *** for the concept of dynamic ability,it has been used to recommend and empirically test conceptual *** were collected through a self-administrated survey questionnaire on 317 people working in 37 banks in six Asian *** suggests that big data analytics strategies have an impact on internal processes and on the stability and financial performance of ***,it is indicated that banks are committed to proper data monitoring of their customers to complete operational efficiency and sustainability ***,our result proved that banks practicing Green Innovation strategies experience better environmental and economic performance because their employees are already trained in Green ***,from our study,it was found that internal and external green supply chain management practices have a positive effect on the environmental and financial performance of banks,thus ensuring that the bank of Association of Southeast Asian Nations(ASEAN)mitigates the environmental impact through its operations and ultimately experiences an increase in financial performance.

关键词： financial performance sustainability big data analytics banks green management

big data analytics and business analytics

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Journal of Management analytics 2015年第1期2卷 1-21页

作者： Lian Duan Ye Xiong College of Computing Sciences New Jersey Institute of TechnologyNewarkNJ 07102USA

Over the past few decades,with the development of automatic identification,data capture and storage technologies,people generate data much faster and collect data much bigger than ever before in business,science,engineering,education and other *** data has emerged as an important area of study for both practitioners and *** has huge impacts on data-related *** this paper,we identify the key issues related to big data analytics and then investigate its applications specifically related to business problems.

关键词： big data analytics business analytics management analytics business intelligence marketing analytics

Apollo: Rapidly Picking the Optimal Cloud Configurations for big data analytics Using a data-Driven Approach

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Journal of Computer Science & Technology 2021年第5期36卷 1184-1199页

作者： Yue-Wen Wu Yuan-Jia Xu Heng Wu Lin-Gang Su Wen-Bo Zhang Hua Zhong University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China

big data analytics applications are increasingly deployed on cloud computing infrastructures,and it is still a big challenge to pick the optimal cloud configurations in a cost-effective *** this paper,we address this problem with a high accuracy and a low *** propose Apollo,a data-driven approach that can rapidly pick the optimal cloud configurations by reusing data from similar *** first classify 12 typical workloads in bigdataBench by characterizing pairwise correlations in our offline *** a new workload comes,we run it with several small datasets to rank its key characteristics and get its similar *** on the rank,we then limit the search space of cloud configurations through a classification *** last,we leverage a hierarchical regression model to measure which cluster is more suitable and use a local search strategy to pick the optimal cloud configurations in a few extra *** evaluation on 12 typical workloads in HiBench shows that compared with state-of-the-art approaches,Apollo can improve up to 30%search accuracy,while reducing as much as 50%overhead for picking the optimal cloud configurations.

关键词： big data analytics cloud configuration data driven

big data analytics and big data science:a survey

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Journal of Management analytics 2016年第1期3卷 1-42页

作者： Yong Chen Hong Chen Anjee Gorkhali Yang Lu Yiqian Ma Ling Li Peking University Beijing 100871China Tianjin University Tianjin 300072China Institute of Engineering Tribhuvan UniversityKirtipur 44618Nepal University of Kentucky LexingtonKentucky 40506USA University of Manchester Manchester M139PLUK Shanghai University of Sport Shanghai 200438China Old Dominion University NorfolkVA 23529USA

big data has attracted much attention from academia and *** the discussion of big data is disparate,fragmented and distributed among different *** paper conducts a systematic and extensive review on 186 journal publications about big data from 2011 to 2015 in the Science Citation Index(SCI)and the Social Science Citation Index(SSCI)database aiming to provide scholars and practitioners with a comprehensive overview and big picture about research on big *** selected papers are grouped into 20 research *** contents of the paper(s)in each research category are *** directions for each category are outlined as *** results in this study indicate that the selected papers were mainly published between 2013 and 2015 and focus on technological issues regarding big *** new approaches,methods,frameworks and systems are proposed for data collection,storage,transport,processing and analysis in the selected *** directions for future research on big data are discussed.

关键词： big data big data analytics big data science survey literature review

big data analytics:a literature review

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Journal of Management analytics 2015年第3期2卷 175-201页

作者： Dazhi Chong Hui Shi Department of Information Technology&Decision Sciences Old Dominion UniversityNorfolkUSA Department of Management and Information Sciences University of Southern IndianaEvansvilleUSA

AbstractWith more and more data generated,it has become a big challenge for traditional architectures and infrastructures to process large amounts of data within an acceptable time and *** order to efficiently extract value from these data,organizations need to find new tools and methods specialized for big data *** this reason,big data analytics has become a key factor for companies to reveal hidden information and achieve competitive advantages in the ***,enormous publications of big data analytics make it difficult for practitioners and researchers to find topics they are interested in and track up to *** paper aims to present an overview of big data analytics’content,scope and findings as well as opportunities provided by the application of big data analytics.

关键词： big data analytics programming model storage application