Web Mining for the Integration of Data Mining with Business Intelligence in Web-Based Decision Support Systems

Domingues, Marcos Aurélio; Jorge, Alípio Mário; Soares, Carlos; Rezende, Solange Oliveira

doi:10.4018/978-1-4666-6477-7.ch007

“…Many decision support systems depend on information retrieved from the web for further processing and inference-making to arrive at a decision [5]. In this layer, a taxonomy of drugs will be generated using information gathered from the web with expert domain knowledge.…”

Section: Knowledge Layermentioning

confidence: 99%

Mining Drug Properties for Decision Support in Dental Clinics

Goh

¹

,

Tao

²

,

Zhang

³

et al. 2017

Advances in Knowledge Discovery and Data Mining

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Abstract. With poly-pharmacy becoming more common, it is important for health providers to be aware of the drug profile of patients before prescribing. Although there are many methods on extracting information on drug interactions, they do not integrate with the patients' medical history. This paper describes state-of-the art approaches in extracting the term frequencies of drug properties, and using this knowledge to decide if a drug is suitable for prescription after considering if there is any drug allergy the patient may have and the drugs that the patient is currently taking. An experiment is conducted to evaluate the accuracy of associating the similarity ratio in terms of their term frequencies to the similarity between them. Experimental evaluation of our model yields an accuracy of over 80% which is superior to models that use other methods. Since a drug is to be avoided if it is similar to a drug that patient is allergic to, our model will help dentist decide if a drug is suitable for prescription to the patient. Hence such an approach, when integrated within the clinical workflow will reduce prescription errors thereby increasing the health outcome of the patients.

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Electronic Commerce and Decision Support Systems

Kasemsap

¹

2018

Improving E-Commerce Web Applications Through Business Intelligence Techniques

0

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Electronic Commerce (e-commerce) is an advanced online business tool that allows many companies to launch their websites and helps customers search their specific products shown on the websites. Decision Support Systems (DSSs) are computerized tools designed to facilitate strategic decision making. With the support of data mining and business intelligence methods, DSSs can effectively increase the performance of decision making and can present a sophisticated method of managerial thinking in a timely and effective manner toward gaining competitive advantage. The chapter argues that utilizing e-commerce and DSSs has the potential to enhance business performance and reach strategic goals in modern business.

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Electronic Commerce and Decision Support Systems

Kasemsap

¹

2021

Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business

1

0

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Electronic Commerce (e-commerce) is an advanced online business tool that allows many companies to launch their websites and helps customers search their specific products shown on the websites. Decision Support Systems (DSSs) are computerized tools designed to facilitate strategic decision making. With the support of data mining and business intelligence methods, DSSs can effectively increase the performance of decision making and can present a sophisticated method of managerial thinking in a timely and effective manner toward gaining competitive advantage. The chapter argues that utilizing e-commerce and DSSs has the potential to enhance business performance and reach strategic goals in modern business.

show abstract

Web Mining for the Integration of Data Mining with Business Intelligence in Web-Based Decision Support Systems

Cited by 3 publications

References 27 publications

Mining Drug Properties for Decision Support in Dental Clinics

Mining Drug Properties for Decision Support in Dental Clinics

Electronic Commerce and Decision Support Systems

Electronic Commerce and Decision Support Systems

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