Machine learning: Algorithms, real-world applications and research directions

IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

Creating value from social big data: Implications for smart tourism destinations

P Del Vecchio, G Mele, V Ndou, G Secundo - Information processing & …, 2018 - Elsevier
This paper aims to demonstrate how the huge amount of Social Big Data available from
tourists can nurture the value creation process for a Smart Tourism Destination. Applying a …

Mobile data science and intelligent apps: concepts, AI-based modeling and research directions

IH Sarker, MM Hoque, MK Uddin… - Mobile Networks and …, 2021 - Springer
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of
computing with smart mobile phones that typically allows the devices to function in an …

SoCoMo marketing for travel and tourism: Empowering co-creation of value

D Buhalis, M Foerste - Journal of destination marketing & management, 2015 - Elsevier
Advanced technology enables users to amalgamate information from various sources on
their mobile devices, personalise their profile through applications and social networks, as …

A survey of app store analysis for software engineering

W Martin, F Sarro, Y Jia, Y Zhang… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …

Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage

IH Sarker, ASM Kayes, P Watters - Journal of Big Data, 2019 - Springer
Due to the increasing popularity of recent advanced features and context-awareness in
smart mobile phones, the contextual data relevant to users' diverse activities with their …

Machine learning for identifying randomized controlled trials: an evaluation and practitioner's guide

IJ Marshall, A Noel‐Storr, J Kuiper… - Research synthesis …, 2018 - Wiley Online Library
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized
Controlled Trials (RCTs) but are not used much in practice, in part because the best way to …

Characterizing context-aware recommender systems: A systematic literature review

NM Villegas, C Sánchez, J Díaz-Cely… - Knowledge-Based …, 2018 - Elsevier
Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …

Point-of-interest recommendations: Learning potential check-ins from friends

H Li, Y Ge, R Hong, H Zhu - Proceedings of the 22nd ACM SIGKDD …, 2016 - dl.acm.org
The emergence of Location-based Social Network (LBSN) services provides a wonderful
opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a …