Big data analytics opportunities for applications in process engineering
M Sadat Lavasani, N Raeisi Ardali… - Reviews in Chemical …, 2023 - degruyter.com
Big data is an expression for massive data sets consisting of both structured and
unstructured data that are particularly difficult to store, analyze and visualize. Big data …
unstructured data that are particularly difficult to store, analyze and visualize. Big data …
Modeling data analytics architecture for iot applications using dat
Data analysis plays a significant role in extracting meaningful information from big data.
Data analysis consists of acquisition, storage, management, analytics, and visualization …
Data analysis consists of acquisition, storage, management, analytics, and visualization …
[PDF][PDF] An efficient clustering technique for big data mining
Data mining and big data analytics are approaches for analyzing data and extracting hidden
information. Because big data is complicated and large in volume, traditional techniques to …
information. Because big data is complicated and large in volume, traditional techniques to …
Vessel Trajectory Data Mining: a review
Recent advancements in sensor and tracking technologies have facilitated the real-time
tracking of marine vessels as they traverse the oceans. As a result, there is an increasing …
tracking of marine vessels as they traverse the oceans. As a result, there is an increasing …
Information literacy of college students from library education in smart classrooms: based on big data exploring data mining patterns using Apriori algorithm
S Chen, Y Xue, X Cui - Soft Computing, 2024 - Springer
The rapid advancement of IoT technology presents transformative opportunities across
various sectors, with education being a prominent beneficiary. Smart classrooms, a product …
various sectors, with education being a prominent beneficiary. Smart classrooms, a product …
Architecting Data-Intensive Applications: From Data Architecture Design to Its Quality Assurance
M Abughazala - arxiv preprint arxiv:2401.12011, 2024 - arxiv.org
Context-The exponential growth of data is becoming a significant concern. Managing this
data has become incredibly challenging, especially when dealing with various sources in …
data has become incredibly challenging, especially when dealing with various sources in …
Machine-learning algorithm to improve cohort identification in interstitial lung disease
E Farrand, O Gologorskaya, H Mills… - American Journal of …, 2023 - atsjournals.org
Methods The University of California, San Francisco (UCSF), Institutional Review Board
approved this study and waived consent because of the use of existing secondary data. The …
approved this study and waived consent because of the use of existing secondary data. The …
Exploring the relationship between big data and firm performance
Big data offers great potential to improve organizational performance and generate
competitive advantages. In this sense, knowing this phenomenon is relevant and this study …
competitive advantages. In this sense, knowing this phenomenon is relevant and this study …
[HTML][HTML] Enhancing Urban Safety: Optimal Patrol Route Strategies for Volunteer Security Squads Based on Integrated BIM-GIS Data
J Lee, JH Lee, J Im, J Jang - Buildings, 2024 - mdpi.com
Urban safety is becoming an increasingly crucial issue due to rising crime rates and
urbanization. The concept of a “Safe City” aims to ensure citizen safety through effective …
urbanization. The concept of a “Safe City” aims to ensure citizen safety through effective …
An unstructured to structured data conversion using machine learning algorithm in Internet of Things (IoT)
Nowadays the amount of data generated is in massive form. Continuously data is generated
by the IoT sensors which is in unstructured form and this unstructured data is to be converted …
by the IoT sensors which is in unstructured form and this unstructured data is to be converted …