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The big challenges of big data

Citations

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Cited by:

  1. Lin Zhu & Xiantao Liu & Sha He & Jun Shi & Ming Pang, 2015. "Keywords co-occurrence mapping knowledge domain research base on the theory of Big Data in oil and gas industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 249-260, October.
  2. Lu Jiang & Xinyu Kang & Shan Huang & Bo Yang, 2022. "A refinement strategy for identification of scientific software from bioinformatics publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3293-3316, June.
  3. Bianchini, Stefano & Müller, Moritz & Pelletier, Pierre, 2022. "Artificial intelligence in science: An emerging general method of invention," Research Policy, Elsevier, vol. 51(10).
  4. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
  5. Gamermann, Daniel & Antunes, Felipe Leite, 2018. "Statistical analysis of Brazilian electoral campaigns via Benford’s law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 171-188.
  6. Haitham Nobanee & Mehroz Nida Dilshad & Mona Al Dhanhani & Maitha Al Neyadi & Sultan Al Qubaisi & Saeed Al Shamsi, 2021. "Big Data Applications the Banking Sector: A Bibliometric Analysis Approach," SAGE Open, , vol. 11(4), pages 21582440211, December.
  7. Dawen Xia & Xiaonan Lu & Huaqing Li & Wendong Wang & Yantao Li & Zili Zhang, 2018. "A MapReduce-Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data," Complexity, Hindawi, vol. 2018, pages 1-16, January.
  8. Jun Feng & Zhenting Li & Shizhen Zhang & Chun Bao & Jingxian Fang & Yun Yin & Bolei Chen & Lei Pan & Bing Wang & Yu Zheng, 2023. "A Microimage-Processing-Based Technique for Detecting Qualitative and Quantitative Characteristics of Plant Cells," Agriculture, MDPI, vol. 13(9), pages 1-16, September.
  9. Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
  10. Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
  11. Jonathan E Butner & Ascher K Munion & Brian R W Baucom & Alexander Wong, 2019. "Ghost hunting in the nonlinear dynamic machine," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-21, December.
  12. Alberto Fernández & Sara Río & Abdullah Bawakid & Francisco Herrera, 2017. "Fuzzy rule based classification systems for big data with MapReduce: granularity analysis," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(4), pages 711-730, December.
  13. Yoshiyuki Ogata & Kazuto Mannen & Yasuto Kotani & Naohiro Kimura & Nozomu Sakurai & Daisuke Shibata & Hideyuki Suzuki, 2018. "ConfeitoGUI: A toolkit for size-sensitive community detection from a correlation network," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-18, October.
  14. Akshay Mani & Resmi Ravindran & Soujanya Mannepalli & Daniel Vang & Paul A Luciw & Michael Hogarth & Imran H Khan & Viswanathan V Krishnan, 2015. "Data Mining Strategies to Improve Multiplex Microbead Immunoassay Tolerance in a Mouse Model of Infectious Diseases," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-19, January.
  15. Reza Farrahi Moghaddam & Fereydoun Farrahi Moghaddam & Mohamed Cheriet, 2014. "A Multi-Entity Input Output (MEIO) Approach to Sustainability - Water-Energy-GHG (WEG) Footprint Statements in Use Cases from Auto and Telco Industries," Papers 1404.6227, arXiv.org, revised Apr 2014.
  16. Stefano Bianchini & Moritz Muller & Pierre Pelletier, 2020. "Deep Learning in Science," Papers 2009.01575, arXiv.org, revised Sep 2020.
  17. Felwa Abukhodair & Wafaa Alsaggaf & Amani Tariq Jamal & Sayed Abdel-Khalek & Romany F. Mansour, 2021. "An Intelligent Metaheuristic Binary Pigeon Optimization-Based Feature Selection and Big Data Classification in a MapReduce Environment," Mathematics, MDPI, vol. 9(20), pages 1-14, October.
  18. Subhroshekhar Ghosh & Soumendu Sundar Mukherjee, 2022. "Learning with latent group sparsity via heat flow dynamics on networks," Papers 2201.08326, arXiv.org.
  19. Ning Cai & Steven Kou, 2019. "Econometrics with Privacy Preservation," Operations Research, INFORMS, vol. 67(4), pages 905-926, July.
  20. Chuang Lin & Guoliang Li & Zhiguang Shan & Yong Shi, 2017. "Thinking and Modeling for Big Data from the Perspective of the I Ching," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1451-1463, November.
  21. Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
  22. J. Lars Kirkby & Dang H. Nguyen & Duy Nguyen & Nhu N. Nguyen, 2022. "Inversion-free subsampling Newton’s method for large sample logistic regression," Statistical Papers, Springer, vol. 63(3), pages 943-963, June.
  23. Huidong Sun & Mustafa Raza Rabbani & Muhammad Safdar Sial & Siming Yu & José António Filipe & Jacob Cherian, 2020. "Identifying Big Data’s Opportunities, Challenges, and Implications in Finance," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
  24. Matteo Fontana & Massimo Tavoni & Simone Vantini, 2019. "Functional Data Analysis of high-frequency load curves reveals drivers of residential electricity consumption," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-16, June.
  25. S. Vijayakumar Bharathi, 2017. "Prioritizing and Ranking the Big Data Information Security Risk Spectrum," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 183-201, September.
  26. Zbysław Dobrowolski, 2021. "Internet of Things and Other E-Solutions in Supply Chain Management May Generate Threats in the Energy Sector—The Quest for Preventive Measures," Energies, MDPI, vol. 14(17), pages 1-11, August.
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