Challenges of Big Data analysis

Cited by (1,000)

Items 501–600 of 1,000

1. Continuous-time digital twin with analog memristive neural ordinary differential equation solver
   Hegan Chen, Jichang Yang, Jia Chen, Songqi Wang, Shaocong Wang, Dingchen Wang, Xinyu Tian, Yifei Yu, Xi Chen, Yinan Lin et al. · 2025 · Science Advances
2. Coarse graining of complex networks: A k-means clustering approach
   Shuang Xu, Pei Wang · 2016 · Chinese Control and Decision Conference (CCDC)
3. The Use of an Artificial Neural Network to Process Hydrographic Big Data during Surface Modeling
   Marta Włodarczyk-Sielicka, Jacek Łubczonek · 2019 · Computers
4. Big Data, Classification, Clustering and Generate Rules: An inevitably intertwined for Prediction
   Wael Alzyadat, Aysh Alhroob, Ikhlas Hassan Almukahel, Mohammad I. Muhairat, Mohammad M. A. Abdallah, Ahmad Althunibat · 2021
5. Subdata selection based on orthogonal array for big data
   Min Ren, Shengli Zhao · 2021 · Communication in Statistics- Theory and Methods
6. DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication
   Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alex V. Veidenbaum, Alex Nicolau, Tony D. Givargis · 2023 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
7. A model‐based data‐driven dictionary learning for seismic data representation
   Can Evren Yarman, Rajiv Kumar, James E. Rickett · 2017 · Geophysical Prospecting
8. Business Intelligence and Data Analytics as a Driver of Dynamic Capability Strategic Approach
   Maoloud Dabab, Charles M. Weber · 2018 · Portland International Conference on Management of Engineering and Technology (PICMET)
9. The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions
   Bahae Samhan, Tara Crampton, Regina Ruane · 2018 · Communications of the Association for Information Systems
10. Quality Control of Voice Recordings in Remote Parkinson’s Disease Monitoring Using the Infinite Hidden Markov Model
    Amir Hossein Poorjam, Yordan P. Raykov, Reham Badawy, Jesper Rindom Jensen, Mads Græsbøll Christensen, Max A. Little · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
11. A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics
    R. Krishnan, V. A. Samaranayake, S. Jagannathan · 2019 · Big Data Research
12. Association mining method based on neighborhood perspective
    Honghong Cheng, Jiye Liang, Yuhua Qian, Zhiguo Hu · 2020 · Scientia Sinica Informationis
13. Certifiably optimal sparse inverse covariance estimation
    Dimitris Bertsimas, Jourdain Lamperski, Jean Pauphilet · 2019 · DSpace@MIT (Massachusetts Institute of Technology)
14. Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: the RELEASE database of aphasia after stroke
    Louise R. Williams, Myzoon Ali, Kathryn VandenBerg, Linda Jane Williams, Masahiro Abo, Frank Becker, Audrey Bowen, Caitlin Brandenburg, Caterina Breitenstein, Stefanie Bruehl et al. · 2021 · Aphasiology
15. Understanding loading patterns of construction waste hauling trucks: triangulation between big quantitative and informative qualitative data
    Weisheng Lu, Liang Yuan, Wendy M. W. Lee · 2022 · Environmental Science and Pollution Research
16. Lung cancer prediction model using machine learning techniques
    C. S. Anita, G Vasukidevi, D. Rajalakshmi, K. Selvi, T Ramesh · 2022 · International Journal of Health Sciences
17. A sparse additive model for high-dimensional interactions with an exposure variable
    Sahir Bhatnagar, Tianyuan Lu, Amanda Lovato, David Lee Olds, Michael Steffen Kobor, Michael Joseph Meaney, Kieran J. O’Donnell, Archer Yi Yang, Celia M.T. Greenwood · 2022 · Computational Statistics & Data Analysis
18. Online Event Detection Requirements in Closed-Loop Neuroscience
    Pablo Varona, David Arroyo, Francisco B. Rodrı́guez, Thomas Nowotny · 2016 · Elsevier eBooks
19. Precision medicine for managing chronic diseases
    Andrzej M. Śliwczyński, Ewa Orlewska · 2016 · Polskie Archiwum Medycyny Wewnętrznej
20. A Cognitive-Based Semantic Approach to Deep Content Analysis in Search Engines
    Mei Chen, Michel D�cary · 2018 · IEEE International Conference on Semantic Computing (ICSC)
21. A Cyberinfrastructure for Big Data Transportation Engineering
    Md Johirul Islam, Anuj Sharma, Hridesh Rajan · 2019 · Journal of Big Data Analytics in Transportation
22. What Does the Volatility Risk Premium Say About Liquidity Provision and Demand for Hedging Tail Risk?
    Jianqing Fan A B, Michael B. Imerman, Wei Dai · 2013 · SSRN Electronic Journal
23. Deciphering laser shock peening quality monitoring: Wavelet-driven network with interpretability
    Rui Qin, Zhifen Zhang, Jing Huang, Zhengyao Du, Xizhang Chen, Yu Su, Guangrui Wen, Weifeng He, Xuefeng Chen · 2024 · Advanced Engineering Informatics
24. Enhancing machine learning performance through intelligent data quality assessment: An unsupervised data-centric framework
    Manal Rahal, Bestoun S. Ahmed, Gergely Szabados, Torgny Fornstedt, Jörgen Samuelsson · 2025 · Heliyon
25. A Selective Overview of Quantile Regression for Large-Scale Data
    Shanshan Wang, Wei Cao, Xiaoxue Hu, Han Zhong, Weixi Sun · 2025 · Mathematics
26. Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach
    Kehan Chen, Jiaqi Liu, Fei Yan · 2025 · Neural Networks
27. Large Language Model Versus Manual Review for Clinical Data Curation in Breast Cancer: Retrospective Comparative Study
    Young-Joon Kang, Hocheol Lee, Jae Pak Yi, H.S. Kim, Chang Ik Yoon, Jong Min Baek, Yong‐Seok Kim, Ye Won Jeon, Jiyoung Rhu, Su Hyun Lim et al. · 2025 · JMIR Medical Informatics
28. Identification of altered biological processes in heterogeneous RNA-sequencing data by discretization of expression profiles
    Andrea Lauria, Serena Peirone, Marco Del Giudice, Francesca Priante, Prabhakar Rajan, Michele Caselle, Salvatore Oliviero, Matteo Cereda · 2019 · Nucleic Acids Research
29. Toward Compact Data from Big Data
    Song-Kyoo Amang Kim · 2020 · International Conference for Internet Technology and Secured Transactions
30. A critical evaluation of handling uncertainty in Big Data processing
    Ekansh Upadhyay · 2022 · Advances in Engineering Software
31. Sanitizing data for analysis: Designing systems for data understanding
    Joshua Holstein, Max Schemmer, Johannes Jakubik, Michael Vössing, Gerhard Satzger · 2023 · Electronic Markets
32. Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach
    Michelle Carlsen, Guifang Fu, Shaun B. Bushman, Christopher D. Corcoran · 2015 · Genetics
33. Estimating large correlation matrices for international migration
    Jonathan J. Azose, Adrian E. Raftery · 2018 · The Annals of Applied Statistics
34. The survey of large-scale query classification
    Sanduo Zhou, Kefei Cheng, Lijun Men · 2017 · AIP conference proceedings
35. Classification of Parkinson's Disease and Essential Tremor Based on Structural MRI
    Li Zhang, Chang Liu, Xiujun Zhang, Yuan Yan Tang · 2016
36. Tapping the Vast Potential of the Data Deluge in Small-scale Food-Animal Production Businesses: Challenges to Near Real-time Data Analysis and Interpretation
    Flavie Vial, Andrew Tedder · 2017 · Frontiers in Veterinary Science
37. National Healthcare Service and Its Big Data Analytics
    Da Jeong Nam, Hyuk Won Kwon, Haeyeon Lee, Eun Kyung Ahn · 2018 · Healthcare Informatics Research
38. Certifiably optimal sparse inverse covariance estimation
    Dimitris Bertsimas, Jourdain Lamperski, Jean Pauphilet · 2019 · Mathematical Programming
39. A Conceptual Model of the Challenges of Social Media Big Data for Citizen e-Participation: A Systematic Review
    Khulekani Yakobi, Brenda M. Scholtz, Benjamin Berg · 2020 · Lecture notes in computer science
40. Predicting high-dimensional time series data with spatial, temporal and global information
    Jining Wang, Chuan Chen, Zibin Zheng, Luonan Chen, Yuren Zhou · 2022 · Information Sciences
41. Research on Tax Collection and Administration Application and Legal Issues Based on Big Data Analysis
    Chen Liuhong · 2022 · Journal of Sensors · Retracted
42. Identification of Cell Culture Factors Influencing Afucosylation Levels in Monoclonal Antibodies by Partial Least-Squares Regression and Variable Importance Metrics
    Adam J. Rish, Zhuangrong Huang, Khandaker Siddiquee, Jianlin Xu, Carl A. Anderson, Michael Borys, Anurag Khetan · 2023 · Processes
43. Prediction of terephthalic acid yield in aqueous hydrolysis of polyethylene terephthalate
    Hossein Abedsoltan, Zeinab Zoghi, Amir Hossein Mohammadi · 2023 · Journal of Applied Polymer Science
44. Randomized maximum-contrast selection: Subagging for large-scale regression
    Jelena Bradić · 2016 · Electronic Journal of Statistics
45. Big Data has a Big Role in Biostatistics with Big Challenges and Big Expectations
    Sergio V. Davalos · 2017 · Biostatistics and Biometrics Open Access Journal
46. Analyzing large datasets with bootstrap penalization
    Kuangnan Fang, Shuangge Ma · 2016 · Biometrical Journal
47. Big and disparate data: considerations for pediatric consortia
    Jeanette A. Stingone, Nancy A. Mervish, Patricia Kovatch, Deborah L. McGuinness, Chris Gennings, Susan L. Teitelbaum · 2017 · Current Opinion in Pediatrics
48. Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval
    Jianqing Fan A B, Han Liu, Zhaoran Wang, Zhuoran Yang · 2018 · arXiv (Cornell University)
49. Making a Case for Social Media Corpus for Detecting Depression
    Adil E. Rajput, Samara M. Ahmed · 2019 · arXiv.org
50. An Overview on the Estimation of Large Covariance and Precision Matrices
    Jianqing Fan A B, Yuan Liao, Han Liu · 2015 · arXiv (Cornell University)
51. Big Data in Driving Greener Social Welfare and Sustainable Environmental Management
    Thangaraja Arumugam, K.M. Ashifa, V. Vinayagalakshmi, Uday Kiran, S. Ramya · 2023 · Advances in business information systems and analytics book series
52. Big Data Streaming and Data Analytics Infrastructure for Efficient AI-Based Processing
    Fatima Tu Zahra, Yavuz Selim Bostanci, Ozay Tokgozlu, Malik Turkoglu, Müjdat Soytürk · 2024 · Springer eBooks
53. TURKISH COURT OF ACCOUNTS: ANALYZING FINANCIAL AUDIT, DIGITALIZATION, AI IMPACT
    Muhammet Damar, Ömer Aydın, Eren Özoğuz, Üzeyir Aydın, Ahmet Özen · 2024 · EDPACS
54. Looking forward through the rear-view mirror: A socio-technical imaginaries perspective for envisioning the Metaverse beyond the hype
    Madaleine Hunt, Spyros P. Angelopoulos · 2024 · Decision Support Systems
55. A importance-based ensemble method using an adaptive threshold searching for feature selection
    Yanmin Zhuang, Zongwen Fan, Jin Gou, Yongqing Huang, Wenjuan Feng · 2024 · Expert Systems with Applications
56. ANÁLISE DE BIG DATA, INTELIGÊNCIA ARTIFICIAL, AMBIDESTRIA E GESTÃO DE CADEIA DE SUPRIMENTOS VERDE: IMPLICAÇÕES NA ECONOMIA RESPONSÁVEL
    Shanshan Wang, Chenge Jia, Asif Khan, Naila Habib Khan, Chia-Hung Hsieh, Chung-Wen Hung, Shih‐Chih Chen · 2025 · Revista de Administração de Empresas
57. Ferroelectric α-In2Se3 Semi-floating Gate Transistors for Multilevel Memory and Optoelectronic Logic Gate
    Yanze Song, Zhidong Pan, Cheng‐Ming Luo, Yue Wang, Tao Zheng, Yuan Pan, Nabuqi Bu, Ruiyang Xu, Nengjie Huo · 2025 · ACS Applied Materials & Interfaces
58. Outlook of Industry 4.0 Integrated Technologies in Thermal Spray Processes and Applications
    Wenbo Li, Hongjian Wu, Xin Chu, Yingchun Xie, Sihao Deng, Sara Bagherifard · 2025 · Journal of Thermal Spray Technology
59. Inventory Management With Multisource Heterogeneous Information: Roles of Representation Learning and Information Fusion
    Zhen-Yu Chen, Zhi‐Ping Fan, Minghe Sun · 2023 · IEEE Transactions on Systems Man and Cybernetics Systems
60. Reconstructing the colonization history of Indo‐Pacific bottlenose dolphins ( Tursiops aduncus ) in Northwestern Australia
    Samuel Wittwer, Livia Gerber, Simon J. Allen, Erik P. Willems, Svenja M. Marfurt, Michael Krützen · 2023 · Molecular Ecology
61. Non-MapReduce computing for intelligent big data analysis
    Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang · 2023 · Engineering Applications of Artificial Intelligence
62. Dual-layer volatile memristor with ultralow voltage slope
    Pengtao Li, Zijian Wang, Shengpeng Xing, Zhen Wang, Wentai Xia, Xuemeng Fan, Dawei Gao, Yishu Zhang · 2024 · Applied Physics Letters
63. Loss Coverage: Why Insurance Works Better with Some Adverse Selection
    R. Guy Thomas · 2017 · Kent Academic Repository (University of Kent)
64. Imbalanced Classification for Big Data
    Alberto Fernández, Salvador García, Mikel Galar, Ronaldo Cristiano Prati, Bartosz Krawczyk, Francisco Herrera · 2018 · Springer eBooks
65. Big Data Analytics: principles, trends and tasks (a survey)
    O.S. Balabanov · 2019 · PROBLEMS IN PROGRAMMING
66. Sorting big data by revealed preference with application to college ranking
    Xingwei Hu · 2020 · Journal Of Big Data
67. Joint integrative analysis of multiple data sources with correlated vector outcomes
    Emily C. Hector, Peter X.‐K. Song · 2022 · The Annals of Applied Statistics
68. A systematic Review of Big data tools and application for developments
    Shweta Wadhera, Deepa Kamra, Anil Kumar, Aruna Jain, Vishal Kumar Jain · 2021 · International Conference on Intelligent Engineering and Management (ICIEM)
69. Big Data in Official Statistics
    Kees Zeelenberg, Barteld Braaksma · 2017 · Advances in data mining and database management book series
70. Big Data Analytics: A Survey
    Wasnaa Kadhim Jawad, Abbas M. Al-Bakry · 2022 · Iraqi Journal for Computers and Informatics
71. A Combinatorial Reasoning Mechanism with Topological and Metric Relations for Change Detection in River Planforms: An Application to GlobeLand30’s Water Bodies
    Liang Leng, Guodong Yang, Shengbo Chen · 2017 · ISPRS International Journal of Geo-Information
72. Partition: a surjective mapping approach for dimensionality reduction
    Joshua Millstein, Francesca Battaglin, Malcolm Barrett, Shu Cao, Wu Zhang, Sebastian Stintzing, Volker Heinemann, Heinz‐Josef Lenz · 2019 · Bioinformatics
73. A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
    Vinayakumar Ravi, Soman KP, Mamoun Alazab, S Sriram, K. Simran · 2020
74. Distance-based analysis of variance for brain connectivity
    Shinohara, Russell T., Shou, Haochang, Carone, Marco, Schultz, Robert, Tunc, Birkan, Parker, Drew, Martin, Melissa Lynne, Verma, Ragini · 2020 · Biometrics
75. Population molecular genetics in Brazil: From genomic databases and research to the implementation of precision medicine
    Thaís Crippa de Oliveira, Íscia Lopes‐Cendes · 2024 · Journal of Community Genetics
76. Global and Local CLTs for Linear Spectral Statistics of General Sample Covariance Matrices When the Dimension Is Much Larger Than the Sample Size With Applications
    Xiucai Ding, Zhenggang Wang · 2025 · IEEE Transactions on Information Theory
77. Linear expectile regression under massive data
    Shanshan Song, Yuanyuan Lin, Yong Zhou · 2021 · Fundamental Research
78. Predicting Low Cognitive Ability at Age 5—Feature Selection Using Machine Learning Methods and Birth Cohort Data
    Andrea K. Bowe, Gordon Lightbody, Anthony Spiteri Staines, Mairead E Kiely, Fergus P. McCarthy, Deirdre M. Murray · 2022 · International Journal of Public Health
79. Covariance Model with General Linear Structure and Divergent Parameters
    Xinyan Fan, Wei Lan, Tao Zou, Chih‐Ling Tsai · 2022 · Journal of Business and Economic Statistics
80. Predicting unmet activities of daily living needs among the oldest old with disabilities in China: a machine learning approach
    Kun Wang, Jinxu Zhao, Jie Hu, Dan Liang, Yansong Luo · 2023 · Frontiers in Public Health
81. Digital Maturity of Forecasting and its Impact in Times of Crisis
    Julia Eichholz, Thorsten Knauer, Sandra Winkelmann · 2023 · Schmalenbach Journal of Business Research
82. Distributed optimal subsampling for quantile regression with massive data
    Yue Chao, Xuejun Ma, Boya Zhu · 2024 · Journal of Statistical Planning and Inference
83. Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms
    Guanlin Mo, S. Song, Hu Ding · 2024 · Proceedings of the ACM on Management of Data
84. A process model for design-oriented machine learning research in information systems
    Hamed Majidi Zolbanin, Benoit A. Aubert · 2024 · The Journal of Strategic Information Systems
85. Filling the gap: Enhancing borehole imaging with a tensor neural network
    Dawei Liu, Qingfang Wang, Nan You, Mauricio D. Sacchi, Wenchao Chen · 2024 · Geophysics
86. Sketch of Big Data Real-Time Analytics Model
    Bakhtiar M. Amen, Joan Lu · 2015 · University of Huddersfield Repository (University of Huddersfield)
87. Improving Federal Cybersecurity Governance Through Data-Driven Decision Making and Execution
    D. M. Gray, Brian D. Wisniewski, Julia Allen, Constantine Aaron Cois, Anne Connell, Erik Ebel, William Gulley, Michael Riley, Robert W. Stoddard II, Marie Vaughn · 2015 · KiltHub Repository
88. Learning Demand Curves in B2B Pricing: A New Framework and Case Study
    Huashuai Qu, Ilya O. Ryzhov, Michael C. Fu, Eric Bergerson, Megan Kurka, Luděk Kopáček · 2020 · Production and Operations Management
89. Application of Big Data and Business Analytics
    2020 · Emerald Group Publishing Limited eBooks
90. nf-rnaSeqCount: A Nextflow pipeline for obtaining raw read counts from RNA-seq data
    Phelelani Thokozani Mpangase, Jacqueline Frost, Mohammed Tikly, Michèle Ramsay, Scott Hazelhurst · 2021 · South African Computer Journal
91. Interdisciplinary Collaboration Opportunities, Challenges, and Solutions for Artificial Intelligence in Ultrasound
    Zhiyi Chen, Qingrong Xia, Meng Du, Bin Li, Likang Hou · 2022 · Current Medical Imaging Formerly Current Medical Imaging Reviews
92. High Efficient 3D Convolution Feature Compression
    Yangang Cai, Peiyin Xing, Xuesong Gao · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
93. Data‐driven predictions of summertime visits to lakes across 17 US states
    Erik J Nelson, Maggie Rogers, Spencer A. Wood, Jesse Chung, Bonnie Keeler · 2023 · Ecosphere
94. A scalable implementation of information theoretic feature selection for high dimensional data
    Anthony Kleerekoper, Michael Pappas, Adam Pocock, Gavin Brown B, Mikel Luján · 2015 · IEEE International Conference on Big Data (BigData)
95. Cloud Computing - Architecture and Applications
    Jaydip Sen · 2017 · InTech eBooks
96. MR-SNN: Design of parallel Shared Nearest Neighbor clustering algorithm using MapReduce
    Sujing Wang, Christoph F. Eick · 2017 · IEEE International Conference on Big Data Analysis (ICBDA)
97. A Data Processing Pipeline for Prediction of Milling Machine Tool Condition from Raw Sensor Data
    Max Ferguson, Raunak Bhinge, Jinkyoo Park, Y. T. Lee, Kincho H. Law · 2018 · Smart and Sustainable Manufacturing Systems
98. Multiple change-points detection in high dimension
    Yunlong Wang, Changliang Zou, Zhaojun Wang, Guosheng Yin · 2018 · Random Matrices Theory and Application
99. An analytic approach for interpretable predictive models in high‐dimensional data in the presence of interactions with exposures
    Sahir Bhatnagar, Yi Archer Yang, Budhachandra S. Khundrakpam, Alan Charles Evans, Mathieu Blanchette, Luigi Bouchard, Celia M.T. Greenwood · 2018 · Genetic Epidemiology
100. Dosage Prediction in Pediatric Medication Leveraging Prescription Big Data
     Miaolian Wu, Linghong Hong, Yonggen Zhao, Longbiao Chen, Jue Wang · 2019 · IEEE Access