Big data and climate change

H Hassani, X Huang, E Silva - Big Data and Cognitive Computing, 2019 - mdpi.com
Climate science as a data-intensive subject has overwhelmingly affected by the era of big
data and relevant technological revolutions. The big successes of big data analytics in …

Big data analytics and mining for effective visualization and trends forecasting of crime data

M Feng, J Zheng, J Ren, A Hussain, X Li, Y Xi… - IEEE Access, 2019 - ieeexplore.ieee.org
Big data analytics (BDA) is a systematic approach for analyzing and identifying different
patterns, relations, and trends within a large volume of data. In this paper, we apply BDA to …

Googling fashion: forecasting fashion consumer behaviour using google trends

ES Silva, H Hassani, DØ Madsen, L Gee - Social Sciences, 2019 - mdpi.com
This paper aims to discuss the current state of Google Trends as a useful tool for fashion
consumer analytics, show the importance of being able to forecast fashion consumer trends …

Investigating key attributes in experience and satisfaction of hotel customer using online review data

HJ Ban, H Choi, EK Choi, S Lee, HS Kim - Sustainability, 2019 - mdpi.com
With the development of social media, customers are sharing their experiences, and it is
rapidly spreading as a form of online review. That is why the online review has become a …

Crime base: Towards building a knowledge base for crime entities and their relationships from online news papers

K Srinivasa, PS Thilagam - Information Processing & Management, 2019 - Elsevier
In the current era of internet, information related to crime is scattered across many sources
namely news media, social networks, blogs, and video repositories, etc. Crime reports …

[PDF][PDF] Systematic Literature Review of Crime Prediction and Data Mining.

A Falade, A Azeta, A Oni, I Odun-Ayo - Review of Computer …, 2019 - academia.edu
The systematic review present in this study focuses on crime prediction and data mining as
well as the techniques employed in the past studies. The existing work is classified and …

CBR‐Based Decision Support Methodology for Cybercrime Investigation: Focused on the Data‐Driven Website Defacement Analysis

ML Han, BI Kwak, HK Kim - Security and Communication …, 2019 - Wiley Online Library
Criminal profiling is a useful technique to identify the most plausible suspects based on the
evidence discovered at the crime scene. Similar to offline criminal profiling, in‐depth …

A statistical model to determine the behavior adoption in different timestamps on online social network

D Sarkar, S Roy, C Giri, DK Kole - International Journal of Knowledge …, 2019 - igi-global.com
In this article, a statistical model has been proposed to determine the behavior adoption
among the users in different timestamps on online social networks by using vector space …

Big data and blockchain

H Hassani, X Huang, ES Silva, H Hassani… - Fusing Big Data …, 2019 - Springer
The main interest of this chapter is to present the reader with the idea and benefits of fusing
Big Data and Blockchain technology. As the focus of this book is the inclusive fusion of Big …

[PDF][PDF] Predictive policing: A machine learning approach to predict and control crimes in metropolitan cities

JR Khan, M Saeed, FA Siddiqui… - University of Sindh …, 2019 - researchgate.net
Security is the one of the basic need of human's life and biggest challenge of history that
cannot be diminished at least in metropolitan cities like Karachi. It can only be controlled by …