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[HTML][HTML] Big data mining and classification of intelligent material science data using machine learning
There is a high need for a big data repository for material compositions and their derived
analytics of metal strength, in the material science community. Currently, many researchers …
analytics of metal strength, in the material science community. Currently, many researchers …
Data Migration from Conventional Databases into NoSQL: Methods and Techniques
The variety and velocity of data are being changed by data growth. More processors, more
storage space, and more money are needed to handle a huge amount of data. Big data, as it …
storage space, and more money are needed to handle a huge amount of data. Big data, as it …
Using vdms to index and search 100m images
Data scientists spend most of their time dealing with data preparation, rather than doing
what they know best: build machine learning models and algorithms to solve previously …
what they know best: build machine learning models and algorithms to solve previously …
Towards NOSQL-based data warehouse solution integrating ECDIS for maritime navigation decision support system
CA Bensalloua, A Benameur - Informatica, 2021 - informatica.si
Maritime ship** is a complex process because it requires a continuous analysis of huge
amounts of information. Much of this information has variable spatial and temporal …
amounts of information. Much of this information has variable spatial and temporal …
Information technology of supporting architectural solutions using polyglot persistence concept in learning management systems
This paper shows that performance of the learning management systems heavily depends
on the choice, made during designing, of architectural solution for storage and processing of …
on the choice, made during designing, of architectural solution for storage and processing of …
A study of big data and classification of nosql databases
Today, Big Data is the main topic of discussion everywhere due to its huge popularity as its
getting generated in a huge volume in every second. It is getting huge consideration and …
getting generated in a huge volume in every second. It is getting huge consideration and …
3D Architectural Heritage Platform
AA Yörük, MA Bülbül, S Hajısmaıl - Digital international journal of …, 2022 - dergipark.org.tr
In recent years, efforts to digitalize cultural heritage have increased with the develo**
technology. With the development of three dimensional (3D) imaging technologies and …
technology. With the development of three dimensional (3D) imaging technologies and …
An Approach for Handling Missing Data Using Prediction Models
K BOURESSACE - 2024 - dspace.univ-guelma.dz
The presence of missing data in datasets poses a major challenge in data analysis,
decisionmaking processes and other activities in various fields that often require specialized …
decisionmaking processes and other activities in various fields that often require specialized …
[PDF][PDF] Analyzing User Engagement Metrics Using Big Data Analytics and Machine Learning
A Mantri - J Artif Intell Mach Learn & Data Sci 2022 - researchgate.net
This paper examines user engagement metrics on social media platforms, highlighting their
critical role in understanding user behavior and optimizing social media strategies. Common …
critical role in understanding user behavior and optimizing social media strategies. Common …
A Knowledgebase Model Using RDF Knowledge Graph for ClinicalDecision Support Systems
R Lourdusamy, XJ Mattam - Semantic Web for Effective …, 2021 - Wiley Online Library
Summary Clinical Decision Support Systems are used in healthcare to assist in making life‐
saving decisions. Therefore, such systems have to be efficient and reliable with relevant …
saving decisions. Therefore, such systems have to be efficient and reliable with relevant …