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1. A comparative analysis of Support Vector Machines and Decision Tree Methods for Predicting Individuals' E-Commerce Usage Duration in Turkey.

Author

Senger, Ötüken and Ramazanov, Sahib

Subjects
DATA mining, SUPPORT vector machines, DECISION trees, PAYMENT systems, ELECTRONIC commerce
Abstract

Copyright of Turkish Studies - Economics, Finance, Politics is the property of Electronic Turkish Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023
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2. New Electronic Commerce Study Findings Has Been Reported by a Researcher at Guangdong University of Technology (Text Mining Based Approach for Customer Sentiment and Product Competitiveness Using Composite Online Review Data)

Subjects
Electronic commerce, Data mining, Electronic commerce, Data warehousing/data mining, Business, Computers
Abstract

2024 AUG 5 (VerticalNews) -- By a News Reporter-Staff News Editor at Internet Weekly News -- Researchers detail new data in electronic commerce. According to news reporting out of Guangzhou, [...]

Published
2024