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Efavirenz loaded nanostructured lipid carrier engineered for brain targeting through intranasal route: In-vivo pharmacokinetic and toxicity study Biomedicine & Pharmacotherapy |
Protective effects of ethanolic peel and pulp extracts of Citrus macroptera fruit against isoproterenol-induced myocardial infarction in rats Biomedicine & Pharmacotherapy |
Berberine ameliorates methotrexate-induced liver injury by activating Nrf2/HO-1 pathway and PPARγ, and suppressing oxidative stress and apoptosis in rats Biomedicine & Pharmacotherapy |
Cytokine production in vitro and in rat model of colitis in response to Lactobacillus plantarum LS/07 Biomedicine & Pharmacotherapy |
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Molecular understanding of the protective role of natural products on isoproterenol-induced myocardial infarction: A review Biomedicine & Pharmacotherapy |
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New opportunities and perspectives on biosynthesis and bioactivities of secondary metabolites from Aloe vera Biotechnology Advances |
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Dongping Zhang, Yanjie Li , Huailiang Peng , Yafei Lu 2014. Image Annotation Based on Joint Feature Selection with Sparsity Inform. Technol. J., 13: 102-109. CrossRef |
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A study on e-commerce customer segmentation management
based on improved K-means algorithm Information Systems and e-Business Management |
Exploring the design risks affecting operation performance of green commercial buildings in China Journal of Building Engineering |
Strategies to Achieve High Circularly Polarized Luminescence from Colloidal Organic–Inorganic Hybrid Perovskite Nanocrystals ACS Nano Vol. 14, Issue 7, 8816, 2020 |
Integrated Churn Prediction and Customer Segmentation Framework for Telco Business IEEE Access |
TELEKOMÜNİKASYON SEKTÖRÜNDE PSO İLE MÜŞTERİ
SEGMENTASYONU Bilişim Teknolojileri Dergisi |
A Survey on Data Mining Techniques Applied to Electricity-Related
Time Series Forecasting Energies Vol. 8, Issue 12, 13162, 2015 |
Exploring Big Data Opportunities for Online Customer
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How to cite this article
Luo Ye, Cai Qiuru, Xi Haixu, Liu Yijun and Zhu Guangping, 2013. Customer Segmentation for Telecom with the k-means Clustering Method. Information Technology Journal, 12: 409-413.
DOI: 10.3923/itj.2013.409.413
URL: https://scialert.net/abstract/?doi=itj.2013.409.413
DOI: 10.3923/itj.2013.409.413
URL: https://scialert.net/abstract/?doi=itj.2013.409.413