Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry

S Antomarioni, FE Ciarapica… - International Journal of …, 2022 - emerald.com
Purpose The research approach is based on the concept that a failure event is rarely
random and is often generated by a chain of previous events connected by a sort of domino …

Travel preference of bicycle-sharing users: A multi-granularity sequential pattern mining approach

Y Zhou, M Zhang, G Kou, Y Li - INTERNATIONAL JOURNAL OF …, 2022 - univagora.ro
Public bicycles are an indispensable part of green public transportation and are also a
convenient and economical manner for the general public. In operation management, it is …

[HTML][HTML] An adaptive sliding window for anomaly detection of time series in wireless sensor networks

Z Wang, Y Wang, C Gao, F Wang, T Lin, Y Chen - Wireless Networks, 2022 - Springer
Recent years, anomaly detection for time series in wireless sensor networks has attracted
much research attention. Existing anomaly detection methods based on pattern …

Evaluation Analysis

Y Shi, Y Shi - Advances in Big Data Analytics: Theory, Algorithms …, 2022 - Springer
Abstract Evaluation is one of the key steps in big data analytics, which determines the merit
of data analysis towards the experimental objectives. It usually relates a trade-off …

Toward learning organizations and organizational growth: Perspectives on experiential learning and organizational learning

M Almousa, MT Hejazi - Journal of Positive School Psychology, 2022 - journalppw.com
The current paper aims to develop a conceptual framework that addresses how institutional
enablers of an organizational learning culture can influence both collective learning efficacy …

Regulating the collection of data as a factor of production: An economic analysis

J Wang, Y Dou, L Huang - Available at SSRN 4215107, 2022 - papers.ssrn.com
The widespread use of digital devices has enabled firms to collect and accumulate massive
data that can be used to improve product quality. In this way, data has become one of the …

A Text Mining Approach to Covid-19 Literature

F Liu, D Ergu, B Li, W Deng, Z Chen, G Lu… - International Journal of …, 2022 - World Scientific
The novel coronavirus disease—COVID-19 is a historic catastrophe that has caused many
devastating impacts on human life and wellness. Researchers in academia and industry …

Human Resource Information Systems, Top Management Commitment and Organizational Performance of Commercial State Corporations In Kenya

AG Kaaria - 2022 - ir.jkuat.ac.ke
While performance can be viewed as an intricate and multidimensional concept that
necessitates a well and elaborate strategic focus in its management in organizations …

Investigation of fatal traffic accidents occurring outside of the city in Turkey using data mining

G Dogrul, M Alkan - Selcuk University Journal of Engineering …, 2022 - sujes.selcuk.edu.tr
The rapid increase in the number of motor vehicles, the inability of infrastructure investments
to respond to this increase, the scarcity of alternative transport systems, failure to take …

[PDF][PDF] Unveiling knowledge pattern in intermediate English textbooks through Voyant text mining tools: A digital humanities study

Z Ullah - … doctoral dissertation). National University of Modern …, 2022 - researchgate.net
The contemporary digital era faces the challenge of extracting knowledge patterns from big
diversified data which are difficult to read with the traditional “close reading” method …