A survey of open source tools for machine learning with big data in the Hadoop ecosystem
S Landset, TM Khoshgoftaar, AN Richter, T Hasanin - Journal of Big Data, 2015 - Springer
With an ever-increasing amount of options, the task of selecting machine learning tools for
big data can be difficult. The available tools have advantages and drawbacks, and many …
big data can be difficult. The available tools have advantages and drawbacks, and many …
Analytics for the internet of things: A survey
The Internet of Things (IoT) envisions a world-wide, interconnected network of smart
physical entities. These physical entities generate a large amount of data in operation, and …
physical entities. These physical entities generate a large amount of data in operation, and …
A survey on scholarly data: From big data perspective
Recently, there has been a shifting focus of organizations and governments towards
digitization of academic and technical documents, adding a new facet to the concept of …
digitization of academic and technical documents, adding a new facet to the concept of …
A scalable machine learning online service for big data real-time analysis
A Baldominos, E Albacete, Y Saez… - 2014 IEEE Symposium …, 2014 - ieeexplore.ieee.org
This work describes a proposal for developing and testing a scalable machine learning
architecture able to provide real-time predictions or analytics as a service over domain …
architecture able to provide real-time predictions or analytics as a service over domain …
Big data computing using cloud-based technologies: Challenges and future perspectives
The excessive amounts of data generated by devices and Internet-based sources at a
regular basis constitute big data. This data can be processed and analyzed to develop …
regular basis constitute big data. This data can be processed and analyzed to develop …
Machine learning on big data: A developmental approach on societal applications
Abstract Machine Learning (ML) is a potential tool that can be used to make predictions on
the future based on the past history data. It constructs a model from input examples to make …
the future based on the past history data. It constructs a model from input examples to make …
Toward a prediction approach based on deep learning in Big Data analytics
Nowadays, cloud computing plays an important role in the process of storing both structured
and unstructured data. This contributed to a very large data growth on web servers, which …
and unstructured data. This contributed to a very large data growth on web servers, which …
Item-based collaborative filtering and association rules for a baseline recommender in e-commerce
J Lourenco, AS Varde - … Conference on Big Data (Big Data), 2020 - ieeexplore.ieee.org
In the ever-growing data-driven world today, data increases in many forms, eg e-commerce
sites uploading new products, streaming services adding TV shows and movies, and music …
sites uploading new products, streaming services adding TV shows and movies, and music …
[PDF][PDF] Building a personalized fitness recommendation application based on sequential information
M Abdulaziz, B Al-motairy, M Al-ghamdi… - … Journal of Advanced …, 2021 - researchgate.net
Now-a-days sports plays a very important role in the life of the human being and it allows to
keep him healthy and make him always active. Sport is essential for people to have a …
keep him healthy and make him always active. Sport is essential for people to have a …
Enhancing Cloud Security Posture for Ubiquitous Data Access with a Cybersecurity Framework Based Management Tool
Cloud security has become an important issue for many organizations that utilize cloud
services, eg Amazon Web Services (AWS), especially as they have to manage the massive …
services, eg Amazon Web Services (AWS), especially as they have to manage the massive …