Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data …
During the fast progress of digital technologies, business intelligence (BI) has experienced a significant change, leading to new chances for making data-informed decisions and gaining …
Algorithms have permeated throughout civil government and society, where they are being used to make high-stakes decisions about human lives. In this paper, we first develop a …
ABSTRACT Today Big Data, is any set of data that is larger than the capacity to be processed using traditional database tools to capture, share, transfer, store, manage and …
MA Camilleri - International Journal of Big Data …, 2020 - inderscienceonline.com
The latest technologies are shifting how businesses capture, analyse and distribute data from the individual users' online activity. Therefore, this contribution critically reviews the …
Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new marketing reality. In a world of Big Data, machine learning and AI, this key text reviews the …
NR Vajjhala, P Eappen - … Learning and IoT Applications for Health …, 2024 - taylorfrancis.com
This chapter examines the transformative intersection of healthcare analytics, Machine Learning (ML), and the Internet of Things (IoT), exploring how these state-of-the-art …
J Rajni, DB Malaya - IT Professional, 2015 - ieeexplore.ieee.org
Predictive analytics is the process of forecasting future courses of action by analyzing historical and current facts. It's now a priority in many organizations because it can suggest …
Y Qiang, M Songhe, Z Zheng, XIE Weihua… - 力学进展, 2020 - lxjz.cstam.org.cn
Big Data has developed rapidly and made remarkable achievements. The unique thinking and methodology of Big Data provide a new paradigm for scientific research. High spatial …