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The Performance of One Dimensional Naïve Bayes Classifier for Feature Selection in Predicting Prospeis method often decreases the sellers’ mentalities because they face many rejections when offering insurance products. This problem can be reduced by classifying prospective buyers’ data first. The data can be classified as customers with the potential to buy insurance and customers who have no pote
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Clustering Study of Crowdsourced Test Report with Multi-source Heterogeneous Informationealistic user experience. But crowdsourced workers are independent of each other, they may submit test reports for the same issue, resulting in highly redundant test reports submitted. In addition, crowdsourced test reports with multi-source heterogeneous information tend to have short text descript
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https://doi.org/10.1007/978-981-32-9563-6artificial intelligence; clustering algorithms; data mining; data mining techniques; information retriev
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978-981-32-9562-9Springer Nature Singapore Pte Ltd. 2019
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/262923.jpg
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Data Mining and Big Data978-981-32-9563-6Series ISSN 1865-0929 Series E-ISSN 1865-0937