Finding important locations: A feature-based approach

M Pavan, S Mizzaro, I Scagnetto… - 2015 16th IEEE …, 2015 - ieeexplore.ieee.org
We propose a novel approach to address the problem of the recognition of important
locations. Our method is organised in two phases: first, a set of candidate stay points is …

A fusion of data mining techniques for predicting movement of mobile users

TVT Duong, DQ Tran - journal of communications and networks, 2015 - ieeexplore.ieee.org
Predicting locations of users with portable devices such as IP phones, smart-phones, iPads
and iPods in public wireless local area networks (WLANs) plays a crucial role in location …

Mobility prediction based on collective movement behaviors in public WLANs

TVT Duong, DQ Tran - 2015 Science and Information …, 2015 - ieeexplore.ieee.org
Predicting the location of a mobile user in public WLANs such as city or campus WLANs has
received increasing interest over the past decade. Public WLAN enable mobile users use …

Mining movement data to extract personal points of interest: A feature based approach

M Pavan, S Mizzaro, I Scagnetto - … and Retrieval: DART 2014: Revised and …, 2017 - Springer
Due to the widespread of mobile devices in recent years, records of the locations visited by
users are common and growing, and the availability of such large amounts of spatio …

Clustering Methods for Multidimensional Data from Social Media

I Ikramuddin, S Avasthi, M Tyagi - 2024 MIT Art, Design and …, 2024 - ieeexplore.ieee.org
Popular platforms like Instagram, Facebook, YouTube, Linkedin, and Twitter have become
essential tools for various purposes generating massive amounts of unstructured data. Fast …

A dynamic gesture recognition system for mute person

N Nautiyal, S Malik, S Avasthi, E Tyagi - Proceedings of the Second …, 2021 - Springer
For a person with inability to speak, communication is the primary challenge. It is really
difficult to express to a normal person understand what they are trying to communicate. The …

[PDF][PDF] A study of mobile user movements prediction methods

JV Subramanian, S Govindarajan - Int. J. Electr. Comput. Eng, 2018 - academia.edu
For a decade and more, the Number of smart phone users count increasing day by day. With
the drastic improvements in Communication technologies, the prediction of future …

From trajectory modeling to social habits and behaviors analysis

D Gubiani, M Pavan - Recent Trends in Social Systems: Quantitative …, 2017 - Springer
In recent years, the widespread of mobile devices has made easier and popular the
activities of recording locations visited by users and of inferring their trajectories. The …

Prediction-based parallel clustering algorithm for M-Commerce

LN Kolhe, V Khairnar, AK Jetawat - Information and Communication …, 2019 - Springer
A rapid increase of mobile commerce (M-Commerce) with sensing devices has resulted in
enormous services from different service providers. M-Commerce services provide …

Performance Measures Analysis Using Parallel Clustered Optimization Techniques for I-Commerce

L Kolhe, V Khaimar, AK Jetawat - 2018 8th International …, 2018 - ieeexplore.ieee.org
Attributed to the rapid development in I-Commerce with sensing devices, sudden increase of
numerous services from a diversity of service providers has ensued. I-Commerce services …