Pub Date : 2023-01-01DOI: 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}
Pub Date : 2023-01-01DOI: 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}
Pub Date : 2023-01-01DOI: 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}
Pub Date : 2023-01-01DOI: 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}
Pub Date : 2023-01-01DOI: 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}
Pub Date : 2023-01-01DOI: 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}
Pub Date : 2023-01-01DOI: 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}
Pub Date : 2023-01-01DOI: 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.
{"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}
Pub Date : 2023-01-01DOI: 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}
Pub Date : 2023-01-01DOI: 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}