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International Journal of Business Intelligence and Data Mining最新文献

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Machine Learning Models for Predicting Customer Churn: A case study in a Software-as-a-Service Inventory Management Company. 预测客户流失的机器学习模型:一个软件即服务库存管理公司的案例研究。
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2024-01-01 DOI: 10.1504/ijbidm.2024.10051203
N. Phumchusri, Phongsatorn Amornvetchayakul
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引用次数: 1
Machine Learning approach for Data Analysis and Predicting Coronavirus Using COVID -19 India Dataset 使用COVID -19印度数据集进行数据分析和预测的机器学习方法
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2024-01-01 DOI: 10.1504/ijbidm.2024.10049479
Soni Singh, Dr.K.R.Ramkumar Kumar, Ashima Kukkar
{"title":"Machine Learning approach for Data Analysis and Predicting Coronavirus Using COVID -19 India Dataset","authors":"Soni Singh, Dr.K.R.Ramkumar Kumar, Ashima Kukkar","doi":"10.1504/ijbidm.2024.10049479","DOIUrl":"https://doi.org/10.1504/ijbidm.2024.10049479","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66664028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Landslide Susceptibility Assessment along the Major Transport Corridor using Decision Tree Model: A Case Study of Kullu-Rohtang Pass 基于决策树模型的交通干线沿线滑坡易感性评价——以库鲁—罗塘山口为例
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2024-01-01 DOI: 10.1504/ijbidm.2024.10054983
Mahesh Sharma, Anand Malik, N. Sharma, Mukesh Prasad
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引用次数: 0
Building a hybridised meta-heuristic optimisation algorithm for efficient cluster analysis 构建高效聚类分析的混合元启发式优化算法
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.127349
D. P. Kumar, B. J. Sowmya, A. Kanavalli, Varun Cornelio, Jaison Pravith Dsouza, Wasim Memon, P. Prashanth
Nature-inspired algorithms are a relatively recent field of meta-heuristics introduced to optimise the process of clustering unlabelled data. In recent years, hybridisation of these algorithms has been pursued to combine the best of multiple algorithms for more efficient clustering and overcoming their drawbacks. In this paper, we discuss a novel hybridisation concept where we combine the exploration and exploitation processes of the vanilla bat and vanilla whale algorithm to develop a hybrid meta-heuristic algorithm. We test this algorithm against the existing vanilla meta-heuristic algorithms, including the vanilla bat and whale algorithm. These tests are performed on several single objective CEC functions to compare convergence speed to the minima coordinates. Additional tests are performed on several real-life and artificial clustering datasets to compare convergence speeds and clustering quality. Finally, we test the hybrid on real-world cases with unlabelled clustering data, namely a credit card fraud detection dataset, and a COVID-19 diagnosis dataset, and end with a discussion on the significance of the work, its limitations and future scope. © 2023 Inderscience Enterprises Ltd.
自然启发算法是元启发式的一个相对较新的领域，用于优化聚类未标记数据的过程。近年来，人们一直在追求这些算法的混合，以结合多种算法的优点来提高聚类效率，并克服它们的缺点。在本文中，我们讨论了一种新的杂交概念，我们将香草蝙蝠和香草鲸鱼算法的探索和开发过程结合起来，开发了一种混合元启发式算法。我们将该算法与现有的香草元启发式算法(包括香草蝙蝠和鲸鱼算法)进行了测试。这些测试是在几个单目标CEC函数上进行的，以比较收敛速度到最小坐标。在几个真实和人工聚类数据集上进行了额外的测试，以比较收敛速度和聚类质量。最后，我们在真实案例中使用未标记的聚类数据(即信用卡欺诈检测数据集和COVID-19诊断数据集)对混合算法进行了测试，最后讨论了这项工作的意义、局限性和未来的范围。©2023 Inderscience Enterprises Ltd。
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引用次数: 0
Prediction of Stock Prices of Blue-Chip Companies using Machine Learning Algorithms 用机器学习算法预测蓝筹公司的股价
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.10049725
Anurag Sharma, R. Kaur
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引用次数: 0
Fraud detection with machine learning: model comparison 机器学习的欺诈检测:模型比较
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.130587
N.A. Jo�ã, O. Pacheco, O. Chela, Guilherme Salomé
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引用次数: 0
A widespread survey on machine learning techniques and user substantiation methods for credit card fraud detection 关于信用卡欺诈检测的机器学习技术和用户证实方法的广泛调查
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.127325
T. J. Berkmans, S. Karthick
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引用次数: 0
On prevention of attribute disclosure and identity disclosure against insider attack in collaborative social network data publishing 协同社交网络数据发布中属性披露和身份披露防范内部攻击研究
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.10045007
Bintu Kadhiwala, Sankita J. Patel
{"title":"On prevention of attribute disclosure and identity disclosure against insider attack in collaborative social network data publishing","authors":"Bintu Kadhiwala, Sankita J. Patel","doi":"10.1504/ijbidm.2023.10045007","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.10045007","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"21 1","pages":"14-49"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84813950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Credit card fraud detection: an evaluation of SMOTE resampling and machine learning model performance 信用卡欺诈检测:SMOTE重采样和机器学习模型性能的评估
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.131791
Faleh Alshameri, Ran Xia
{"title":"Credit card fraud detection: an evaluation of SMOTE resampling and machine learning model performance","authors":"Faleh Alshameri, Ran Xia","doi":"10.1504/ijbidm.2023.131791","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.131791","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"14 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87248073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Performance evaluation of oversampling algorithm: MAHAKIL using ensemble classifiers 过采样算法的性能评价:使用集成分类器的mahagil
Q3 Decision Sciences
International Journal of Business Intelligence and Data Mining
Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.127293
C. Arun, C. Lakshmi
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引用次数: 0
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