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[HTML][HTML] Effects of pros and cons of applying big data analytics to consumers' responses in an e-commerce context
TM Le, SY Liaw - Sustainability, 2017 - mdpi.com
The era of Big Data analytics has begun in most industries within developed countries. This
new analytics tool has raised motivation for experts and researchers to study its impacts to …
new analytics tool has raised motivation for experts and researchers to study its impacts to …
Boosting sustainability through digital transformation's domains and resilience
Sustainability is a must for all businesses in all industries. It can boost company image and
productivity while being aligned with customer needs. On the other hand, digital …
productivity while being aligned with customer needs. On the other hand, digital …
7-6-5 Tricarbocyclic diterpenes: Valparanes, mulinanes, cyathanes, homoverrucosanes, and related ones
IS Marcos, RF Moro, A Gil-Mesón, D Díez - Studies in natural products …, 2016 - Elsevier
Valparanes, mulinanes, cyathanes, and homoverrucosanes are diterpenes that are broadly
distributed in nature and have a 7-6-5 tricarbocyclic system. In contrast with other families or …
distributed in nature and have a 7-6-5 tricarbocyclic system. In contrast with other families or …
[PDF][PDF] Association rules as a decision making model in the textile industry
V Istrat, N Lalić - Fibres & Textiles in Eastern Europe, 2017 - bibliotekanauki.pl
Sales process disfunctions in the textile industry are problems that cause loss of customers,
incomplete market supply, etc. The objective of the research is to analyse transactions from …
incomplete market supply, etc. The objective of the research is to analyse transactions from …
Detection of internet robots using a Bayesian approach
G Suchacka, M Sobkow - 2015 IEEE 2nd International …, 2015 - ieeexplore.ieee.org
A large part of Web traffic on e-commerce sites is generated not by human users but by
Internet robots: search engine crawlers, shop** bots, hacking bots, etc. In practice, not all …
Internet robots: search engine crawlers, shop** bots, hacking bots, etc. In practice, not all …
A data mining approach to predict E-Commerce customer behaviour
B Altunan, ED Arslan, M Seyis, M Birer… - Proceedings of the …, 2019 - Springer
Watsons, established in 1841, is one of the world's leading beauty and personal care
industry with more than 6300 stores in 11 different markets. In addition to 280 Watsons's …
industry with more than 6300 stores in 11 different markets. In addition to 280 Watsons's …
Discovering Workers' Actions Leading to Severe Construction Accidents Using Accident Report Data and Sequence Mining Techniques
Historical construction accident reports have been widely used to gain insights into the
primary causes of past incidents in construction. Previous studies have successfully …
primary causes of past incidents in construction. Previous studies have successfully …
Outcomes for end-of-life patients with anticipatory grieving: Insights from practice with standardized nursing terminologies within an interoperable Internet-based …
Anticipatory grieving, grief associated with an impending loss, is common for patients facing
end of life or for their families. There is little research on the outcomes of interventions for …
end of life or for their families. There is little research on the outcomes of interventions for …
A dwell time-based container positioning decision support system at a port terminal
In this article, a methodology as well as a decision support system for the container storage
assignment at a yard of a container terminal is proposed. The motivation of the proposed …
assignment at a yard of a container terminal is proposed. The motivation of the proposed …
Data mining for positive customer reaction to advertising in social media
Social media has become a source of large amounts of data that is extremely useful when
data are analyzed properly. Data mining is one of the known techniques to analyze data to …
data are analyzed properly. Data mining is one of the known techniques to analyze data to …