Big data analytics and machine learning: A retrospective overview and bibliometric analysis

JZ Zhang, PR Srivastava, D Sharma… - Expert Systems with …, 2021 - Elsevier
The research and practice of information systems have progressed by leaps and bounds
due to the emergence of big data analytics and machine learning. The paper undertakes a …

Leveraging machine learning and big data for smart buildings: A comprehensive survey

B Qolomany, A Al-Fuqaha, A Gupta… - IEEE …, 2019 - ieeexplore.ieee.org
Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …

Artificial intelligence, machine learning and deep learning

P Ongsulee - 2017 15th international conference on ICT and …, 2017 - ieeexplore.ieee.org
It is increasingly recognized that artificial intelligence has been touted as a new mobile.
Because of the high volume of data that being generated by devices, sensors and social …

Applications of artificial intelligence in B2B marketing: Challenges and future directions

M Moradi, M Dass - Industrial Marketing Management, 2022 - Elsevier
With the growing popularity of artificial intelligence (AI) transforming business-to-business
(B2B) marketing, there is a growing demand to comprehensively understand the adoption …

The anatomy of big data computing

R Kune, PK Konugurthi, A Agarwal… - Software: Practice …, 2016 - Wiley Online Library
Advances in information technology and its widespread growth in several areas of business,
engineering, medical, and scientific studies are resulting in information/data explosion …

[PDF][PDF] Predictive analytics: a review of trends and techniques

V Kumar, ML Garg - International Journal of Computer …, 2018 - researchgate.net
Predictive analytics is a term mainly used in statistical and analytics techniques. This term is
drawn from statistics, machine learning, database techniques and optimization techniques. It …

Risk assessment and decision making in child protective services: Predictive risk modeling in context

S Cuccaro-Alamin, R Foust, R Vaithianathan… - Children and Youth …, 2017 - Elsevier
In an era in which child protective service agencies face increased demands on their time
and in an environment of stable or shrinking resources, great interest exists in improving risk …

Stock market prediction using optimized deep-convlstm model

A Kelotra, P Pandey - Big Data, 2020 - liebertpub.com
Stock market prediction acts as a challenging area for the investors for obtaining the profits
in the financial markets. A greater number of models used in stock market forecasting is not …

[图书][B] Urban operating systems: Producing the computational city

A Luque-Ayala, S Marvin - 2020 - books.google.com
A new wave of enthusiasm for smart cities, urban data, and the Internet of Things has
created the impression that computation can solve almost any urban problem. Subjecting …

Genetic algorithms for hyperparameter optimization in predictive business process monitoring

C Di Francescomarino, M Dumas, M Federici… - Information Systems, 2018 - Elsevier
Predictive business process monitoring aims at predicting the outcome of ongoing cases of
a business process based on past execution traces. A wide range of techniques for this …