Theoretical background The work explores how Big Data analysis can reshape marketing
decision-making in B2B sector. Deriving from Data-Driven Decision-Making (DDDM) …

This paper presents a novel approach that can detect phishing attack by analysing the
hyperlinks found in the HTML source code of the website. The proposed approach …

Purpose Few studies have conceptualized how companies can build and nurture
international dynamic marketing capabilities (IDMCs) by implementing growth hacking …

Today, everyone is highly dependent on the internet. Everyone performed online shopping
and online activities such as online Bank, online booking, online recharge and more on …

Purpose This paper aims to obtain the domain of the textual content generated by users of
online social network (OSN) platforms. Understanding a users' domain (s) of interest is a …

Abstract Performance of Machine Learning models heavily depends on the quality of the
training dataset. Among others, the quality of training data relies on the consistency of the …

Social media has evolved itself as a significant tool used by people for information spread
during emergencies like natural or man-made disasters. Real-time analysis of this huge …

Nowadays, convolutional neural networks (CNNs) have achieved tremendous performance
in many machine learning areas. However, using a large number of parameters leads to the …

With the huge amount of information available in online social networks and the increasing
spread of user generated data in different forms, personal recommendation systems …

The widespread use of social networks has caused these platforms to become the target of
malicious people. Although social networks have their own spam detection systems, these …