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Data mining in the construction industry: Present status, opportunities, and future trends
H Yan, N Yang, Y Peng, Y Ren - Automation in Construction, 2020 - Elsevier
The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …
mining (DM) from considerable amount of data in the construction industry has emerged as …
Knowledge management technologies and applications—literature review from 1995 to 2002
S Liao - Expert systems with applications, 2003 - Elsevier
This paper surveys knowledge management (KM) development using a literature review
and classification of articles from 1995 to 2002 with keyword index in order to explore how …
and classification of articles from 1995 to 2002 with keyword index in order to explore how …
Territoriality, task performance, and workplace deviance: Empirical evidence on role of knowledge hiding
SK Singh - Journal of Business Research, 2019 - Elsevier
Why and when people share their knowledge has received enough academic attention,
while little attention devoted to why and when people hide knowledge at workplace …
while little attention devoted to why and when people hide knowledge at workplace …
Data mining in manufacturing: a review
The paper reviews applications of data mining in manufacturing engineering, in particular
production processes, operations, fault detection, maintenance, decision support, and …
production processes, operations, fault detection, maintenance, decision support, and …
Data mining in manufacturing: a review based on the kind of knowledge
AK Choudhary, JA Harding, MK Tiwari - Journal of Intelligent …, 2009 - Springer
In modern manufacturing environments, vast amounts of data are collected in database
management systems and data warehouses from all involved areas, including product and …
management systems and data warehouses from all involved areas, including product and …
Data mining of tree-based models to analyze freeway accident frequency
LY Chang, WC Chen - Journal of safety research, 2005 - Elsevier
INTRODUCTION: Statistical models, such as Poisson or negative binomial regression
models, have been employed to analyze vehicle accident frequency for many years …
models, have been employed to analyze vehicle accident frequency for many years …
Review of life cycle assessment towards sustainable product development
Nowadays, environmental problems have aroused public awareness about the trade-off
between economic growth and environmental conservation. In this regard, sustainable …
between economic growth and environmental conservation. In this regard, sustainable …
Integrating AHP and data mining for product recommendation based on customer lifetime value
DR Liu, YY Shih - Information & Management, 2005 - Elsevier
Product recommendation is a business activity that is critical in attracting customers.
Accordingly, improving the quality of a recommendation to fulfill customers' needs is …
Accordingly, improving the quality of a recommendation to fulfill customers' needs is …
Applying data mining techniques to explore factors contributing to occupational injuries in Taiwan's construction industry
Construction accident research involves the systematic sorting, classification, and encoding
of comprehensive databases of injuries and fatalities. The present study explores the causes …
of comprehensive databases of injuries and fatalities. The present study explores the causes …
Does more advice help? The effects of second opinions in AI-assisted decision making
AI assistance in decision-making has become popular, yet people's inappropriate reliance
on AI often leads to unsatisfactory human-AI collaboration performance. In this paper …
on AI often leads to unsatisfactory human-AI collaboration performance. In this paper …