Smart city in crisis: Technology and policy concerns
Any effective smart city application proposal must consider both the technological and policy
challenges to be optimally beneficial to the city; and not only in functioning of the narrow …
challenges to be optimally beneficial to the city; and not only in functioning of the narrow …
[HTML][HTML] Applying a user-centered approach to building a mobile personal health record app: development and usability study
L Zhou, D DeAlmeida, B Parmanto - JMIR mHealth and uHealth, 2019 - mhealth.jmir.org
Background A personal health record (PHR) system encourages patients to engage with
their own health care by giving them the ability to manage and keep track of their own health …
their own health care by giving them the ability to manage and keep track of their own health …
Multiple relevant feature ensemble selection based on multilayer co-evolutionary consensus mapreduce
Although feature selection for large data has been intensively investigated in data mining,
machine learning, and pattern recognition, the challenges are not just to invent new …
machine learning, and pattern recognition, the challenges are not just to invent new …
Advanced approach of sliding window based erasable pattern mining with list structure of industrial fields
U Yun, G Lee, E Yoon - Information Sciences, 2019 - Elsevier
As one of the various data mining areas, erasable pattern mining is a method for solving
financial problems that can be caused in various industrial fields. Since the concept of …
financial problems that can be caused in various industrial fields. Since the concept of …
Incremental algorithm for association rule mining under dynamic threshold
Data mining is essentially applied to discover new knowledge from a database through an
iterative process. The mining process may be time consuming for massive datasets. A widely …
iterative process. The mining process may be time consuming for massive datasets. A widely …
Energy analysis of Internet of things data mining algorithm for smart green communication networks
Z Du - Computer Communications, 2020 - Elsevier
With the continuous development of Internet technology and electronic information
technology, big data technology and cloud computing technology also rise and develop, and …
technology, big data technology and cloud computing technology also rise and develop, and …
Churn prediction in telecom industry using machine learning ensembles with class balancing
A Chowdhury, S Kaisar, MM Rashid… - 2021 IEEE Asia …, 2021 - ieeexplore.ieee.org
Telecommunication service providers are going through a very competitive and challenging
time to retain existing customers by offering new and attractive services (eg, unlimited local …
time to retain existing customers by offering new and attractive services (eg, unlimited local …
Mining of productive periodic-frequent patterns for IoT data analytics
Healthcare applications in Internet of Things (IoT) systems have been increasingly
researched because they facilitate remote monitoring of patients. Though IoT may create …
researched because they facilitate remote monitoring of patients. Though IoT may create …
A survey on behavioral pattern mining from sensor data in Internet of Things
MM Rashid, J Kamruzzaman, MM Hassan… - IEEE …, 2020 - ieeexplore.ieee.org
The deployment of large-scale wireless sensor networks (WSNs) for the Internet of Things
(IoT) applications is increasing day-by-day, especially with the emergence of smart city …
(IoT) applications is increasing day-by-day, especially with the emergence of smart city …
Detection of android malware using tree-based ensemble stacking model
Increasing use of smartphones for everyday activities from banking, education to social
networking is putting our personal information at risk as smartphone operating systems and …
networking is putting our personal information at risk as smartphone operating systems and …