首页 > 最新文献

International Journal of Business Intelligence and Data Mining最新文献

英文 中文
Hybrid automation of student activity records in virtual learning environments in semi-dark scenarios 半黑暗场景下虚拟学习环境中学生活动记录的混合自动化
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.127348
M. Hashmani, M. Memon, Kamran Raza, S. Rizvi
{"title":"Hybrid automation of student activity records in virtual learning environments in semi-dark scenarios","authors":"M. Hashmani, M. Memon, Kamran Raza, S. Rizvi","doi":"10.1504/ijbidm.2023.127348","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.127348","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"25 1","pages":"16-33"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77428835","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
AN EFFICIENT MISSING VALUE IMPUTATION AND EVALUATION USING GK-KH MEANS AND HTR-RNN 基于gk-kh均值和htr-rnn的缺失值估算方法
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.10049909
Syavasya Cvsr, A. Muddana
{"title":"AN EFFICIENT MISSING VALUE IMPUTATION AND EVALUATION USING GK-KH MEANS AND HTR-RNN","authors":"Syavasya Cvsr, A. Muddana","doi":"10.1504/ijbidm.2023.10049909","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.10049909","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66663846","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
Using the data mining technique to predict the successful customer engagement of the marketing campaign in social media 利用数据挖掘技术预测社交媒体营销活动的成功客户参与度
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.10054982
Abdulrahman AAl Abdulsalam, S. Fageeri, A. Said, Fatema Salim
{"title":"Using the data mining technique to predict the successful customer engagement of the marketing campaign in social media","authors":"Abdulrahman AAl Abdulsalam, S. Fageeri, A. Said, Fatema Salim","doi":"10.1504/ijbidm.2023.10054982","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.10054982","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66663949","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
DAMIAN - data accrual machine intelligence with augmented networks for contextually coherent creative story generation 数据应计机器智能与增强网络上下文连贯的创意故事生成
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.127314
B. J. Sowmya, D. P. Kumar, R. Hanumantharaju, K. Srinivasa
{"title":"DAMIAN - data accrual machine intelligence with augmented networks for contextually coherent creative story generation","authors":"B. J. Sowmya, D. P. Kumar, R. Hanumantharaju, K. Srinivasa","doi":"10.1504/ijbidm.2023.127314","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.127314","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"40 1","pages":"115-130"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75110271","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
Knowledge discovery in databases: an application to market segmentation in retail supermarkets 数据库中的知识发现:在零售超市市场细分中的应用
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2022.10043148
K. Endler, C. Scarpin, M. T. Steiner, Tamires de Almeida Sfeir, C. Veiga
{"title":"Knowledge discovery in databases: an application to market segmentation in retail supermarkets","authors":"K. Endler, C. Scarpin, M. T. Steiner, Tamires de Almeida Sfeir, C. Veiga","doi":"10.1504/ijbidm.2022.10043148","DOIUrl":"https://doi.org/10.1504/ijbidm.2022.10043148","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"18 1","pages":"310-332"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77088149","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
Multi-modal feature fusion for object detection using neighbourhood component analysis and bounding box regression 基于邻域分量分析和边界盒回归的多模态特征融合目标检测
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2022.10047465
Anamika Dhillon, G. Verma
{"title":"Multi-modal feature fusion for object detection using neighbourhood component analysis and bounding box regression","authors":"Anamika Dhillon, G. Verma","doi":"10.1504/ijbidm.2022.10047465","DOIUrl":"https://doi.org/10.1504/ijbidm.2022.10047465","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"102 1","pages":"73-99"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75644067","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
Using advanced web ontology language properties for deriving novel and consistent association rules 利用先进的web本体语言属性派生出新颖一致的关联规则
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.134321
Eliot Bytyçi, Lule Ahmedi
{"title":"Using advanced web ontology language properties for deriving novel and consistent association rules","authors":"Eliot Bytyçi, Lule Ahmedi","doi":"10.1504/ijbidm.2023.134321","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.134321","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"135 1","pages":"411-429"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135051522","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
Prediction of stock prices of blue-chip companies using machine learning algorithms 利用机器学习算法预测蓝筹公司的股价
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.134316
Rajvir Kaur, Anurag Sharma
Accurate stock market prediction is a very challenging task for experts due to its volatile nature. To determine the future value of the stock market, several researches are based on historical data. But nowadays, there are some external factors like social media and news headlines that greatly affect the stock market. This research work is based on the prediction of future stock prices by using both twitter social media and news data along with historical data to get the high prediction results. The performance of machine learning algorithms - logistic regression, SVM, random forest is analysed using matrices like accuracy, precision, recall, and F1 score. To train and test the final dataset, it is divided into 80:20 ratios. For each blue chip company, the testing dataset contains 248 samples, which exhibited the highest prediction accuracies ranging from 85% to 89% for prediction of stock prices is achieved using logistic regression algorithm.
由于股市的波动性,对专家来说,准确预测股市是一项非常具有挑战性的任务。为了确定股票市场的未来价值,一些研究是基于历史数据的。但如今,有一些外部因素,如社交媒体和新闻头条,极大地影响了股市。本研究工作基于对未来股票价格的预测,同时利用twitter社交媒体和新闻数据以及历史数据,以获得较高的预测结果。机器学习算法的性能-逻辑回归,支持向量机,随机森林使用矩阵分析,如准确性,精度,召回率和F1分数。为了训练和测试最终的数据集,它被分成80:20的比例。对于每个蓝筹公司,测试数据集包含248个样本,使用逻辑回归算法预测股价的预测准确率最高,为85%至89%。
{"title":"Prediction of stock prices of blue-chip companies using machine learning algorithms","authors":"Rajvir Kaur, Anurag Sharma","doi":"10.1504/ijbidm.2023.134316","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.134316","url":null,"abstract":"Accurate stock market prediction is a very challenging task for experts due to its volatile nature. To determine the future value of the stock market, several researches are based on historical data. But nowadays, there are some external factors like social media and news headlines that greatly affect the stock market. This research work is based on the prediction of future stock prices by using both twitter social media and news data along with historical data to get the high prediction results. The performance of machine learning algorithms - logistic regression, SVM, random forest is analysed using matrices like accuracy, precision, recall, and F1 score. To train and test the final dataset, it is divided into 80:20 ratios. For each blue chip company, the testing dataset contains 248 samples, which exhibited the highest prediction accuracies ranging from 85% to 89% for prediction of stock prices is achieved using logistic regression algorithm.","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135057174","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 Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.10044811
Ran Xia, Faleh Alshameri
{"title":"Credit Card Fraud Detection: An Evaluation of SMOTE Resampling and Machine Learning Model Performance","authors":"Ran Xia, Faleh Alshameri","doi":"10.1504/ijbidm.2023.10044811","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.10044811","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66664103","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
Text analytics of materials and scanning electron microscope image classification of cadmium sulphide 材料文本分析及扫描电子显微镜图像分类
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijbidm.2023.10053198
K. Jayaram, G. Prakash, V. Jayaram
{"title":"Text analytics of materials and scanning electron microscope image classification of cadmium sulphide","authors":"K. Jayaram, G. Prakash, V. Jayaram","doi":"10.1504/ijbidm.2023.10053198","DOIUrl":"https://doi.org/10.1504/ijbidm.2023.10053198","url":null,"abstract":"","PeriodicalId":35458,"journal":{"name":"International Journal of Business Intelligence and Data Mining","volume":"34 1","pages":"333-358"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78257778","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
期刊
International Journal of Business Intelligence and Data Mining
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1