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Titlebook: International Conference on Innovative Computing and Communications; Proceedings of ICICC Siddhartha Bhattacharyya,Aboul Ella Hassanien,Ind

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楼主: MAXIM
发表于 2025-3-23 12:20:24 | 显示全部楼层
2367-3370 ation, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications..978-981-13-2353-9978-981-13-2354-6Series ISSN 2367-3370 Series E-ISSN 2367-3389
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The Role of Big Data Predictive Analytics Acceptance and Radio Frequency Identification Acceptance mediated. The implementation of this study will enhance supply chain performance in the logistics industry. This study also fills the literature gap because previous studies have not established the relationship between big data analytics acceptance and RFID acceptance in SCM.
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Optimisation of C5.0 Using Association Rules and Prediction of Employee Attrition,ng C5.0 with association is 0.02 ms while using traditional C5.0 is 2 ms. RAM consumption for C5.0 with association is 30.89 MB while for traditional C5.0, it is 48 MB. This is a new approach to predict the employee attrition which is better in efficiency than simply applying decision tree algorithms.
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Sentiment Analysis and Feature Extraction Using Rule-Based Model (RBM), paper, we compared our rule-based model (RBM) sentiment lexicon features precision, recall, and F1 score to other known and established sentiment lexicons on Cornell movie review dataset and found the result is better and more accurate.
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A Novel Approach to Find the Saturation Point of n-Gram Encoding Method for Protein Sequence Classiresearch, to find the optimum value of . for n-gram encoding method, where computational time and accuracy level of classification both are acceptable. In this work, an experimental attempt has been made to fixed up the limit of scaling of n-gram encoding method from 2-gram to 5-gram. Standard deviation method has been used for this purpose.
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A Comparative Evaluation of QoS-Based Network Selection Between TOPSIS and VIKOR,ay for high call drop as the terminal or the mobile user is unaware of the network conditions. The aim of this paper is to design and implement network-controlled selection for handover process. TOPSIS and VIKOR are compared to selection score to utilize MADM scheme to perform handover in a wireless network to avoid unnecessary handover.
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