[HTML][HTML] A review of human mobility research based on big data and its implication for smart city development

A Wang, A Zhang, EHW Chan, W Shi, X Zhou… - … International Journal of …, 2020 - mdpi.com
Along with the increase of big data and the advancement of technologies, comprehensive
data-driven knowledge of urban systems is becoming more attainable, yet the connection …

[HTML][HTML] Incremental high average-utility itemset mining: survey and challenges

J Chen, S Yang, W Ding, P Li, A Liu, H Zhang, T Li - Scientific Reports, 2024 - nature.com
Abstract The High Average Utility Itemset Mining (HAUIM) technique, a variation of High
Utility Itemset Mining (HUIM), uses the average utility of the itemsets. Historically, most …

One scan based high average-utility pattern mining in static and dynamic databases

J Kim, U Yun, E Yoon, JCW Lin… - Future Generation …, 2020 - Elsevier
High average utility pattern mining has been proposed to overcome the demerits of high
utility pattern mining. Since high average utility pattern mining can extract more valuable …

Research on data mining of permissions mode for Android malware detection

C Wang, Q Xu, X Lin, S Liu - Cluster Computing, 2019 - Springer
Android system uses a permission mechanism to allow users and developers to regulate
access to private information and system resources required by Android applications (apps) …

A survey of social media, big data, data mining, and analytics

J Oliverio - Journal of Industrial Integration and Management, 2018 - World Scientific
Big Data is a very popular term today. Everywhere you turn companies and organizations
are talking about their Big Data solutions and Analytic applications. The source of the data …

[HTML][HTML] Investigating social media spatiotemporal transferability for transport

E Chaniotakis, M Abouelela, C Antoniou… - Communications in …, 2022 - Elsevier
Social Media have increasingly provided data about the movement of people in cities
making them useful in understanding the daily life of people in different geographies …

Social velocity based spatio-temporal anomalous daily activity discovery of social media users

AS Dokuz - Applied Intelligence, 2022 - Springer
Anomalous daily activities are the activities that do not fit into normal daily behavior of social
media users. Discovering anomalous daily activities is important for protecting social media …

A new cluster computing technique for social media data analysis

Q Xu, M Li - Cluster Computing, 2019 - Springer
Social media data analysis has emerged as an important part of the new generation of
information technology. However, Social media data analysis is based on Data Mining. A …

Constructing and analyzing spatial-social networks from location-based social media data

X Wei, XA Yao - Cartography and Geographic Information Science, 2021 - Taylor & Francis
People interact with each other in space and time. Improved understanding of human
interactions in spatial, temporal, and social dimensions are highly beneficial for research …

[PDF][PDF] Social Media Analytics: An Overview of Applications and Approaches.

Z Khanjarinezhadjooneghani, N Tabrizi - KDIR, 2021 - scitepress.org
Users' activities on social media generate useful and valuable information about the general
public that can be used in policymaking and the decision-making processes. In this paper …