Big Data: A Survey

MapReduce: simplified data processing on large clusters

Dean, J., & Ghemawat, S. (2008) · Communications of the ACM · doi:10.1145/1327452.1327492 · Cited by 18,476

The anatomy of a large-scale hypertextual Web search engine

Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004

An index to quantify an individual’s scientific research output

Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669

Foundations of statistical natural language processing

Manning, C. D., & Schütze, H. (1999) · Cited by 9,816

An Introduction to Multivariate Statistical Analysis

Muirhead, R. J., & Anderson, T. W. (1986) · Journal of Business and Economic Statistics · doi:10.2307/1391399 · Cited by 9,179

Top 10 algorithms in data mining

Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0114-2 · Cited by 5,667

Untitled work

(2011) · Cited by 5,203

Detecting influenza epidemics using search engine query data

Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295

Big data: a revolution that will transform how we live, work, and think

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Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing

Zaharia, M., Chowdhury, M., Das, T., Dave, A., Ma, J. H., McCauley, M., Franklin, M. J. M., Shenker, S. J., & Stoica, I. G. (2012) · Cited by 3,622

Traceability and ownership claim of data on big data marketplace using blockchain technology

Sahoo, S., & Halder, R. (2020) · Journal of Information and Telecommunication · doi:10.1080/24751839.2020.1819634 · Cited by 19

MARISMA-BiDa pattern: Integrated risk analysis for big data

Rosado, D. G., Moreno, J., Sanchez, L. E., Santos-Olmo, A., Serrano, M., & Fernández‐Medina, E. (2020) · Computers & Security · doi:10.1016/j.cose.2020.102155 · Cited by 19

A Fast Randomized Adaptive CP Decomposition For Streaming Tensors

Thanh, L. T., Abed‐Meraim, K., Trung, N. L., & Hafiane, A. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9413554 · Cited by 19

Identifying the business and social networks in the domain of production by merging the data from heterogeneous internet sources

Kozjek, D., Vrabič, R., Eržen, G., & Butala, P. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.03.026 · Cited by 19

The Role of Geospatial Technology with IoT for Precision Agriculture

Bhanumathi, V., & Kalaivanan, K. (2018) · Studies in big data · doi:10.1007/978-3-030-03359-0_11 · Cited by 19

Big Data-Driven Value Chains and Digital Platforms: From Value Co-Creation to MonetizationPreprint

Visconti, R. M., Larocca, A., & Marconi, M. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2903799 · Cited by 19

Information diffusion analysis: process, model, deployment, and application

Singh, S. S., Srivastava, D., Verma, M., & Muhuri, S. (2024) · The Knowledge Engineering Review · doi:10.1017/s0269888924000109 · Cited by 21

Artificial Intelligence Driven Applications in Analytical Chemistry, Drug Discovery, and Food Science: Advancements, Outlook, and Challenges

Srivastava, M., Nandan, S., Zaidi, A., Samani, A. S., Shukla, V., Aslam, H., Srivastava, A., Maurya, P., Khan, M. A., Khan, M. F., et al. (2025) · ChemistrySelect · doi:10.1002/slct.202404446 · Cited by 25

Using Natural Language Preprocessing Architecture (NLPA) for Big Data Text Sources

Novo-Lourés, M., Pavón, R., Laza, R., Ruano-Ordás, D., & Méndez, J. R. (2020) · Scientific Programming · doi:10.1155/2020/2390941 · Cited by 18

Know your guests’ preferences before they arrive at your hotel: evidence from TripAdvisor

Rahimi, R., Thelwall, M. A., Okumuş, F., & Bilgihan, A. (2022) · Consumer Behavior in Tourism and Hospitality · doi:10.1108/cbth-06-2021-0148 · Cited by 31

A Review on the Application of Knowledge Graph Technology in the Medical Field

Qu, J. (2022) · Scientific Programming · doi:10.1155/2022/3212370 · Cited by 20

Supply and Demand Model for a Chili Enterprise System Using a Simultaneous Equations System

Rachmaniah, M., Suroso, A. I., Syukur, M., & Hermadi, I. (2022) · Economies · doi:10.3390/economies10120312 · Cited by 18

Tracking online low-rank approximations of higher-order incomplete streaming tensors

Thanh, L. T., Abed‐Meraim, K., Trung, N. L., & Hafiane, A. (2023) · Patterns · doi:10.1016/j.patter.2023.100759 · Cited by 18

Distributed Analytics For Big Data: A Survey

Berloco, F., Bevilacqua, V., & Colucci, S. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.127258 · Cited by 21

Performance enhancement of distributed K-Means clustering for big Data analytics through in-memory computation

Ketu, S., & Agarwal, S. (2015) · International Conference on Contemporary Computing · doi:10.1109/ic3.2015.7346700 · Cited by 18

Big data based system model of electronic commerce

Ilieva, G., Yankova, T., & Klisarova-Belcheva, S. (2015) · doi:10.15547/tjs.2015.s.01.070 · Cited by 18

Indian Health Care Analysis using Big Data Programming Tool

Dayal, M., & Singh, N. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.06.101 · Cited by 18

The Art of Advanced Healthcare Applications in Big Data and IoT Systems

Ifrim, C., Pintilie, A.-M., Apostol, E., Dobre, C., & Pop, F. (2016) · Studies in big data · doi:10.1007/978-3-319-45145-9_6 · Cited by 18

Big Data: A Systematic Review

Santos, A. F. C., Teles, Í. P., Siqueira, O. M. P., & de Oliveira, A. A. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-54978-1_64 · Cited by 18

Learning analytics in the era of big data: A systematic literature review protocol

Khan, S. U., Bangash, S. A. K., & Khan, K. U. (2017) · International Symposium on Wireless Systems and Networks (ISWSN) · doi:10.1109/iswsn.2017.8250033 · Cited by 18

An integrated urban stormwater model system supporting the whole life cycle of sponge city construction programs in China

Deng, S., Zhang, X., Shao, Z. S., Yan, W., Chai, H., & He, Q. (2018) · Journal of Water and Climate Change · doi:10.2166/wcc.2018.197 · Cited by 18

Investigations into data published and consumed on the Web: a systematic mapping study

dos Santos, H. D. A., Oliveira, M. I. S., Lima, G. D. F. A. B., Silva, K. M., Muniz, R. I. V. C. S., & Lóscio, B. F. (2018) · Journal of the Brazilian Computer Society · doi:10.1186/s13173-018-0077-z · Cited by 18

Internet of Everything

Dinc, E., Kuşcu, M., Bilgin, B. A., & Akan, Ö. B. (2019) · Advances in computer and electrical engineering book series · doi:10.4018/978-1-5225-7332-6.ch001 · Cited by 17

Big Data for Smart Infrastructure Design: Opportunities and Challenges

Arfat, Y., Usman, S., Mehmood, R., & Katib, I. A. (2019) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-13705-2_20 · Cited by 18

Secure Development of Big Data Ecosystems

Moreno, J., Fernández, E. B., Serrano, M., & Fernández‐Medina, E. (2019) · IEEE Access · doi:10.1109/access.2019.2929330 · Cited by 18

Towards A Social Media-Based Framework for Disaster Communication

Chaiir, S., Charrad, M., & Saoud, N. B. B. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.12.183 · Cited by 18

Big data and digital forensics

Adedayo, O. M. (2016) · IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) · doi:10.1109/icccf.2016.7740422 · Cited by 18

An Integrated Cloud Based Healthcare System

Tawalbeh, L., & Habeeb, S. (2018) · International Conference on Internet of Things: Systems, Management and Security (IOTSMS) · doi:10.1109/iotsms.2018.8554648 · Cited by 18

Clustering Algorithm for Community Detection in Complex Network: A Comprehensive Review

Agrawal, S. S., & Patel, A. M. (2019) · Recent Advances in Computer Science and Communications · doi:10.2174/2213275912666190710183635 · Cited by 18

Evaluation of accessibility disparities in urban areas during disruptive events based on transit real data

Nalin, A., Fulman, N., Wilke, E. C., Ludwig, C., Zipf, A., Lantieri, C., Vignali, V., & Simone, A. (2025) · Communications in Transportation Research · doi:10.1016/j.commtr.2024.100160 · Cited by 17

Advances in natural language processing for healthcare: A comprehensive review of techniques, applications, and future directions

Alafari, F., Driss, M., & Cherif, A. (2025) · Computer Science Review · doi:10.1016/j.cosrev.2025.100725 · Cited by 29

Efficient SIMD and MIMD parallelization of hash-based aggregation by conflict mitigation

Jiang, P., & Agrawal, G. (2017) · International Conference on Supercomputing · doi:10.1145/3079079.3079080 · Cited by 17

Efficient development of high performance data analytics in Python

Cid-Fuentes, J. Á., Álvarez, P., Amela, R., Ishii, K., Morizawa, R. K., & Badia, R. M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.09.051 · Cited by 22

Big Data Technology Applications and the Right to Health in China during the COVID-19 Pandemic

Shen, T., & Wang, C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147325 · Cited by 16

Cloud-based big data analytics integration with ERP platforms

Romero, J. A., & Navarro, M. C. A. (2022) · Management Decision · doi:10.1108/md-07-2021-0872 · Cited by 20

Factors Affecting Big Data Adoption

Trường, N. X. (2022) · International Journal of Asian Business and Information Management · doi:10.4018/ijabim.315825 · Cited by 18

Integrated scheduling of multiple heterogeneous equipment and maintenance operations during discharging process in a container terminal under uncertainty

Abyaneh, M. B., Vahdani, B., Afshar-Nadjafi, B., & Amiri, M. (2024) · Computers & Industrial Engineering · doi:10.1016/j.cie.2024.110300 · Cited by 17

Exploring the applicability of industry 4.0 technologies in oil and gas pipeline leakage monitoring: Results from an empirical study

Taifa, I. W. R., Mahundi, R. A., & Mahabi, V. (2025) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2025.100857 · Cited by 19

Improving Cities Sustainability through the Use of Data Mining in a Context of Big City Data

Costa, C., & Santos, M. Y. (2015) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · Cited by 17

Sequential quantiles via Hermite series density estimation

Stephanou, M., Varughese, M., & MacDonald, I. L. (2017) · Electronic Journal of Statistics · doi:10.1214/17-ejs1245 · Cited by 17

Diffusion of Big Data and Analytics in Developing Countries

Micheni, E. M. (2015) · doi:10.6084/m9.figshare.1517092.v1 · Cited by 17

A Machine Learning Perspective on Big Data Analysis

Japkowicz, N., & Stefanowski, J. (2015) · Studies in big data · doi:10.1007/978-3-319-26989-4_1 · Cited by 17

Leveraging Cloud Based Big Data Analytics in Knowledge Management for Enhanced Decision Making in Organizations

Shorfuzzaman, M. (2017) · International Journal of Distributed and Parallel systems · doi:10.5121/ijdps.2017.8101 · Cited by 17

The innovation of the internet: a semantic network analysis of the Internet of Things

Kim, J. H., Yoo, M., Lee, K. N., & Seo, H. (2017) · Asian Journal of Technology Innovation · doi:10.1080/19761597.2017.1302549 · Cited by 17

GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY

Harbola, S., & Coors, V. (2018) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlii-4-w11-11-2018 · Cited by 17

Prediction of Human Health Using Machine Learning and Big Data

Fahad, P. K., & Pallavi, M. S. (2018) · doi:10.1109/iccsp.2018.8524352 · Cited by 17

[WiP] A Novel Method for Big Data Analytics and Summarization Based on Fuzzy Similarity Measure

Jaribion, A., Khajavi, S. H., Motlagh, N. H., & Holmström, J. (2018) · IEEE International Conference on Service-Oriented Computing and Applications (SOCA) · doi:10.1109/soca.2018.00039 · Cited by 17

TDDFS

Cao, Z., Wen, H., Ge, X., Ma, J., Diehl, J., & Du, D. H.-C. (2019) · ACM Transactions on Storage · doi:10.1145/3295461 · Cited by 17

Data-Intensive Routing in Delay-Tolerant Networks

Sakai, K., Sun, M.-T., & Ku, W. (2019) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2019.8737620 · Cited by 17

Fine-Grained Dynamic Resource Allocation for Big-Data Applications

Baresi, L., Leva, A., & Quattrocchi, G. (2019) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2931537 · Cited by 17

An enhanced cuckoo optimization algorithm for task graph scheduling in cluster-computing systems

Boveiri, H. R. (2019) · Soft Computing · doi:10.1007/s00500-019-04520-3 · Cited by 17

Big Data Irruption in Education

Caballero, P. D. F., Terrón, A. M., & Olivencia, J. J. L. (2020) · Pixel-Bit Revista de Medios y Educación · doi:10.12795/pixelbit.2020.i57.02 · Cited by 17

Consistency of Medical Data Using Intelligent Neuron Faster R-CNN Algorithm for Smart Health Care Application

Kim, S.-K., & Huh, J. (2020) · Healthcare · doi:10.3390/healthcare8020185 · Cited by 19

The Potential for Implementing a Big Data Analytic-based Smart Village in Indonesia

Tosida, E. T., Herdiyeni, Y., Suprehatin, S., & Marimin, M. (2020) · International Conference on Computer Science and Its Application in Agriculture (ICOSICA) · doi:10.1109/icosica49951.2020.9243265 · Cited by 17

Role of Urban Big Data in Travel Behavior Research

Wang, C., & Hess, D. B. (2020) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198120975029 · Cited by 17

Enabling fast and energy-efficient FM-index exact matching using processing-near-memory

Herruzo, J. M., Fernandez, I., González-Navarro, S., & Plata, Ó. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-021-03661-3 · Cited by 17

MR-MVPP: A map-reduce-based approach for creating MVPP in data warehouses for big data applications

Azgomi, H., & Sohrabi, M. K. (2021) · Information Sciences · doi:10.1016/j.ins.2021.04.004 · Cited by 17

Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization

Lu, W.-C., Tsai, I.-C., Wang, K.-C., Tang, T.-A., Li, K.-C., Ke, Y.-C., & Chen, P.-T. (2021) · Sustainability · doi:10.3390/su13147888 · Cited by 20

Big data as a value generator in decision support systems: a literature review

Grander, G., da Silva, L. F., & González, E. D. R. S. (2021) · Revista de Gestão · doi:10.1108/rege-03-2020-0014 · Cited by 21

Data Lake Versus Data Warehouse Architecture: A Comparative Study

Aissi, M. E. M. E., Benjelloun, S., Loukili, Y., Lakhrissi, Y., Boushaki, A. E., Chougrad, H., & Ali, S. E. B. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-33-6893-4_19 · Cited by 17

Critical success factor categories for big data: A preliminary analysis of the current academic landscape

Eybers, S., & Hattingh, M. J. (2017) · IST-Africa Conference (IST-Africa) · doi:10.23919/istafrica.2017.8102327 · Cited by 17

Big Data Usage Can Be a Solution for User Behavior Evaluation: An Automotive Industry Example.

Orlovska, J., Wickman, C., & Söderberg, R. C. (2018) · Procedia CIRP · doi:10.1016/j.procir.2018.03.102 · Cited by 17

Semantic Data Integration of Big Biomedical Data for Supporting Personalised Medicine

Vidal, M.-E., Endris, K. M., Jozashoori, S., Karim, F., & Palma, G. (2019) · Studies in computational intelligence · doi:10.1007/978-3-030-06149-4_2 · Cited by 17

Big data analytics in the health sector: challenges and potentials

Jovanović-Milenković, M., Vukmirovic, A., & Milenkovic, D. (2019) · Management Journal of Sustainable Business and Management Solutions in Emerging Economies · doi:10.7595/management.fon.2019.0001 · Cited by 17

Introduction to Data Mining

Luna, J. M. (2021) · Springer eBooks · doi:10.1007/978-981-16-3964-7_1 · Cited by 18

UniMiner: Towards a unified framework for data mining

Rehman, M. H. U., Liew, C. S., & Wah, T. Y. (2014) · World Congress on Information and Communication Technologies · doi:10.1109/wict.2014.7077317 · Cited by 16

Mastering Big Data in the Digital Age

Kasemsap, K. (2016) · Advances in data mining and database management book series · doi:10.4018/978-1-5225-0182-4.ch008 · Cited by 16

Whole‐volume clustering of time series data from zebrafish brain calcium images via mixture modeling

Nguyen, H. D., Ullmann, J. F. P., McLachlan, G. J., Voleti, V., Li, W., Hillman, E. M. C., Reutens, D. C., & Janke, A. L. (2017) · Statistical Analysis and Data Mining The ASA Data Science Journal · doi:10.1002/sam.11366 · Cited by 18

Ranking enterprise application integration platforms from a performance perspective: An experience report

Freire, D. L., Frantz, R. Z., & Frantz, F. C. R. (2019) · Software Practice and Experience · doi:10.1002/spe.2679 · Cited by 16

The role of surrogate models in the development of digital twins of dynamic systems

Chakraborty, S., Adhikari, S., & Ganguli, R. (2020) · Applied Mathematical Modelling · doi:10.1016/j.apm.2020.09.037 · Cited by 177

The Genetic Algorithm and Binary Search Technique in the Program Path Coverage for Improving Software Testing Using Big Data

Alhroob, A., Alzyadat, W., Imam, A. T., & Jaradat, G. M. (2020) · Intelligent Automation & Soft Computing · doi:10.32604/iasc.2020.010106 · Cited by 16

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

Junior, G. F. D. O., Gómez-Luna, J., Orosa, L., Ghose, S., Vijaykumar, N., Fernandez, I., Sadrosadati, M., & Mutlu, O. (2021) · IEEE Access · doi:10.1109/access.2021.3110993 · Cited by 16

MIX-RS: A Multi-Indexing System Based on HDFS for Remote Sensing Data Storage

Wu, J., Xiong, J., Dai, H., Wang, Y., & Xu, C. (2022) · Tsinghua Science & Technology · doi:10.26599/tst.2021.9010082 · Cited by 16

Big Data in Sports: A Bibliometric and Topic Study

Šuštaršič, A., Videmšek, M., Karpljuk, D., Miloloža, I., & Meško, M. (2022) · Business Systems Research Journal · doi:10.2478/bsrj-2022-0002 · Cited by 16

Big Data and Labour Markets: A Review of Research Topics

Turulja, L., Vugec, D. S., & Bach, M. P. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2022.12.248 · Cited by 16

Strategic Applications of Artificial Intelligence in Healthcare and Medicine

Chan, C. Y. T., & Petrikat, D. (2023) · Journal of Medical and Health Studies · doi:10.32996/jmhs.2023.4.3.8 · Cited by 18

The Impact of Intelligent Systems on Management Accounting

Marques, S., Gonçalves, R., Costa, R. L. D., Pereira, L., & Dias, Á. (2023) · International Journal of Intelligent Information Technologies · doi:10.4018/ijiit.324601 · Cited by 28

Bidirectional Invisible Photoresponse Implemented in a Traps Matrix-Combination toward Fully Optical Artificial Synapses

Wen, Z., Wang, S., Yi, F., Zheng, D., Yan, C., & Sun, Z. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.3c06590 · Cited by 17

Carbon based sensors for air quality monitoring networks; middle east perspective

Shahid, I., Shahzad, M. I., Tutsak, E., Mahfouz, M. M. K., Al-Adba, M., Abbasi, S. A., Rathore, H. A., Asif, Z., & Chen, Z. (2024) · Frontiers in Chemistry · doi:10.3389/fchem.2024.1391409 · Cited by 16

Traffic big data based path planning strategy in public vehicle systems

Zhu, M., Liu, X.-Y., Meikang Qiu, A., Shen, R., Shu, W., & Wu, M. (2016) · International Workshop on Quality of Service · doi:10.1109/iwqos.2016.7590400 · Cited by 16

Surveillance and identity: conceptual framework and formal models

Wang, V., & Tucker, J. V. (2017) · Journal of Cybersecurity · doi:10.1093/cybsec/tyx010 · Cited by 17

Location-Based Social Network Data for Tourism Destinations

Vassakis, K., Petrakis, E., Kopanakis, I., Makridis, J., & Mastorakis, G. N. (2019) · Springer eBooks · doi:10.1007/978-981-13-6339-9_7 · Cited by 17

A Survey on Big Data Analytics

Ahmad, S., Singh, P. S., & Sagar, A. K. (2018) · International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · doi:10.1109/icacccn.2018.8748774 · Cited by 16

Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach

Pandey, P., Pandey, S. C., & Kumar, U. (2019) · Algorithms for intelligent systems · doi:10.1007/978-981-15-1100-4_15 · Cited by 16

LSTPD: Least Slack Time-Based Preemptive Deadline Constraint Scheduler for Hadoop Clusters

Ullah, I., Khan, M. S., Amir, M., Kim, J., & Kim, S. M. (2020) · IEEE Access · doi:10.1109/access.2020.3002565 · Cited by 16

Big data and tourism research: measuring research impact

Álvarez‐García, J., Durán‐Sánchez, A., del Río‐Rama, M. D. L. C., & Simonetti, B. (2020) · Quality & Quantity · doi:10.1007/s11135-020-01044-z · Cited by 17

Best path in mountain environment based on parallel A* algorithm and Apache Spark

Alazzam, H., AbuAlghanam, O., & Sharieh, A. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-021-04072-0 · Cited by 17

A Review of Big Data Resource Management: Using Smart Grid Systems as a Case Study

Khan, M. F., Azam, M., Khan, M. A., Algarni, F., Ashfaq, M., Ahmad, I., & Ullah, I. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/3740476 · Cited by 16

Applications and development of artificial intelligence system from the perspective of system science: A bibliometric review

Jiang, H., Gai, J., Zhao, S., Chaudhry, P. E., & Chaudhry, S. S. (2022) · Systems Research and Behavioral Science · doi:10.1002/sres.2865 · Cited by 18

Mining Educational Data for Academic Accreditation: Aligning Assessment with Outcomes

Hussain, M. A., Almourad, M. B., Mathew, S. S., & Hussein, A. (2016) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-016-0143-3 · Cited by 16

An overview of studies about students' performance analysis and learning analytics in MOOCs

Duru, İ., Doğan, G., & Di̇ri̇, B. (2016) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2016.7840786 · Cited by 16

Big data challenges: Prioritizing by decision-making process using Analytic Network Process technique

Latif, Z., Lei, W., Latif, S., Pathan, Z. H., Ullah, R., & Jianqiu, Z. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5161-4 · Cited by 16

Data Science for Urban Sustainability: Data Mining and Data-Analytic Thinking in the Next Wave of City Analytics

Bibri, S. E. (2018) · The urban book series · doi:10.1007/978-3-319-73981-6_4 · Cited by 17

Exploiting IoT Data and Smart City Services for Chronic Obstructive Pulmonary Diseases Risk Factors Monitoring

Sarabia-Jácome, D., Belsa, A., Palau, C. E., & Esteve, M. (2018) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e.2018.00060 · Cited by 16

Efficient Data Deduplication for Big Data Storage Systems

Kumar, N., Shobha, & Jain, S. C. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-0224-4_32 · Cited by 16

Internet of Things in Asset Management: Insights from Industrial Professionals and Academia

Kinnunen, S.-K., Ylä-Kujala, A., Marttonen-Arola, S., Kärri, T., & Baglee, D. (2018) · International Journal of Service Science, Management, Engineering, and Technology · doi:10.4018/ijssmet.2018040105 · Cited by 24

Cross-Layer Software-Defined 5G Network

Yang, M., Li, Y., Hu, L., Li, B., Jin, D., Chen, S., & Yan, Z. (2015) · Mobile Networks and Applications · doi:10.1007/s11036-014-0554-3 · Cited by 13

Digital Twin: Values, Challenges and Enablers

Rasheed, A., San, O., & Kvamsdal, T. (2019) · arXiv · doi:10.48550/arxiv.1910.01719 · Cited by 81

Real-time big data processing framework: Challenges and solutions

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Big data analysis

Rasheed, R. T., Mohammed, M. A., & Ţăpuş, N. (2021) · Mesopotamian Journal of Big Data · doi:10.58496/mjbd/2021/004 · Cited by 3

Big data: related technologies, challenges and future prospects

Chen, M., Mao, S., Zhang, Y., & Leung, V. C. (2014) · CERN Document Server (European Organization for Nuclear Research) · Cited by 31

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