Data analytics: fundamentals

VN Gudivada - Data analytics for intelligent transportation systems, 2025 - Elsevier
This chapter provides a comprehensive and unified view of data analytics fundamentals.
Four functional facets of data analytics—descriptive, diagnostic, predictive, and prescriptive …

[HTML][HTML] Métodos de aprendizaje automático para predecir el comportamiento epidemiológico de enfermedades arbovirales: revisión estructurada de literatura

SI Polo-Triana, YA Ramírez-Sierra… - Revista de la …, 2023 - scielo.org.co
Introducción: Los métodos de aprendizaje automático permiten manejar datos estructurados
y no estructurados para construir modelos predictivos y apoyar la toma de decisiones …

Learning cooperative oversubscription for cloud by chance-constrained multi-agent reinforcement learning

J Sheng, L Wang, F Yang, B Qiao, H Dong… - Proceedings of the …, 2023 - dl.acm.org
Oversubscription is a common practice for improving cloud resource utilization. It allows the
cloud service provider to sell more resources than the physical limit, assuming not all users …

[HTML][HTML] Graph-based image segmentation for road extraction from post-disaster aerial footage

NP Sebasco, HE Sevil - Drones, 2022 - mdpi.com
This research effort proposes a novel method for identifying and extracting roads from aerial
images taken after a disaster using graph-based image segmentation. The dataset that is …

Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization

M Al-Zobbi, S Shahrestani, C Ruan - Journal of Big Data, 2017 - Springer
Big data is predominantly associated with data retrieval, storage, and analytics. Data
analytics is prone to privacy violations and data disclosures, which can be partly attributed to …

Experimenting sensitivity-based anonymization framework in apache spark

M Al-Zobbi, S Shahrestani, C Ruan - Journal of Big Data, 2018 - Springer
One of the biggest concerns of big data and analytics is privacy. We believe the forthcoming
frameworks and theories will establish several solutions for the privacy protection. One of the …

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

L Wang, M Das, F Yang, C Du, B Qiao, H Dong… - Proceedings of the 33rd …, 2024 - dl.acm.org
We address the real problem of safe, robust, adaptive resource oversubscription in uncertain
environments with our proposed novel technique of chance-constrained imitation learning …

Evolution and facets of data analytics for educational data mining and learning analytics

VN Gudivada, DL Rao, J Ding - Responsible Analytics and Data …, 2018 - taylorfrancis.com
This chapter provides a comprehensive and unified view of data analytics and educational
data mining, and how they are used to improve student learning and engagement. The …

Enhancing IaaS Consolidation with Resource Oversubscription

P Jacquet - 2024 - theses.hal.science
By migrating its workload to larger Data Centers (DCs), the digital realm has been able to
improve its energy efficiency. The consumption due to the increase in usage has thus been …

Dr CR Rao's contributions to the advancement of economic science

TK Kumar, HD Vinod, S Deman - Proceedings-Mathematical Sciences, 2020 - Springer
Dr CR Rao’s contributions to the advancement of economic science | Proceedings - Mathematical
Sciences Skip to main content Springer Nature Link Account Menu Find a journal Publish with us …