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Growth hacking and international dynamic marketing capabilities: a conceptual framework and research propositions
Purpose Few studies have conceptualized how companies can build and nurture
international dynamic marketing capabilities (IDMCs) by implementing growth hacking …
international dynamic marketing capabilities (IDMCs) by implementing growth hacking …
Growth hacking: Insights on data-driven decision-making from three firms
Theoretical background The work explores how Big Data analysis can reshape marketing
decision-making in B2B sector. Deriving from Data-Driven Decision-Making (DDDM) …
decision-making in B2B sector. Deriving from Data-Driven Decision-Making (DDDM) …
A machine learning based approach for phishing detection using hyperlinks information
AK Jain, BB Gupta - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
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 …
hyperlinks found in the HTML source code of the website. The proposed approach …
Phishing detection using machine learning technique
Today, everyone is highly dependent on the internet. Everyone performed online shop**
and online activities such as online Bank, online booking, online recharge and more on …
and online activities such as online Bank, online booking, online recharge and more on …
Twitter mining for ontology-based domain discovery incorporating machine learning
B Abu-Salih, P Wongthongtham… - Journal of Knowledge …, 2018 - emerald.com
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 …
online social network (OSN) platforms. Understanding a users' domain (s) of interest is a …
Data set quality in machine learning: consistency measure based on group decision making
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 …
training dataset. Among others, the quality of training data relies on the consistency of the …
A deep learning-based social media text analysis framework for disaster resource management
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 …
during emergencies like natural or man-made disasters. Real-time analysis of this huge …
Localization and reduction of redundancy in CNN using L1-sparsity induction
Nowadays, convolutional neural networks (CNNs) have achieved tremendous performance
in many machine learning areas. However, using a large number of parameters leads to the …
in many machine learning areas. However, using a large number of parameters leads to the …
Consumer Behaviour in Growth Hacking: Develo** and Validating the Shareability Construct
Stemming from the explosion of companies' social data and digital transformation, growth
hacking has emerged as a process of rapid experimentation to achieve sustainable …
hacking has emerged as a process of rapid experimentation to achieve sustainable …
[HTML][HTML] Directional user similarity model for personalized recommendation in online social networks
AB Suhaim, J Berri - Journal of King Saud University-Computer and …, 2022 - Elsevier
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 …
spread of user generated data in different forms, personal recommendation systems …