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International Journal of Data Mining & Knowledge Management Process最新文献

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A Business Intelligence Platform Implemented in a Big Data System Embedding Data Mining: A Case of Study 嵌入数据挖掘的大数据系统中实现的商业智能平台研究
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-01-31 DOI: 10.5121/IJDKP.2019.9101
A. Massaro, Valeria Vitti, Palo Lisco, A. Galiano, Nicola Savino
{"title":"A Business Intelligence Platform Implemented in a Big Data System Embedding Data Mining: A Case of Study","authors":"A. Massaro, Valeria Vitti, Palo Lisco, A. Galiano, Nicola Savino","doi":"10.5121/IJDKP.2019.9101","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9101","url":null,"abstract":"In this work is discussed a case study of a business intelligence –BI- platform developed within the framework of an industry project by following research and development –R&D- guidelines of ‘Frascati’. The proposed results are a part of the output of different jointed projects enabling the BI of the industry ACI Global working mainly in roadside assistance services. The main project goal is to upgrade the information system, the knowledge base –KB- and industry processes activating data mining algorithms and big data systems able to provide gain of knowledge. The proposed work concerns the development of the highly performing Cassandra big data system collecting data of two industry location. Data are processed by data mining algorithms in order to formulate a decision making system oriented on call center human resources optimization and on customer service improvement. Correlation Matrix, Decision Tree and Random Forest Decision Tree algorithms have been applied for the testing of the prototype system by finding a good accuracy of the output solutions. The Rapid Miner tool has been adopted for the data processing. The work describes all the system architectures adopted for the design and for the testing phases, providing information about Cassandra performance and showing some results of data mining processes matching with industry BI strategies.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130295261","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: 17
The Balance Between Social Life and Work and its Relationship with Work Stress – An Applied Study on the Ministry of Youth and Sports Affairs In the Kingdom of Bahrain 社会生活和工作之间的平衡及其与工作压力的关系-对巴林王国青年和体育部的应用研究
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-01-31 DOI: 10.5121/ijdkp.2019.9102
Najwa Naseeb Saad Faraj, Atheelah Al Azzawi, S. Darwish, Horiya Al Deeb
{"title":"The Balance Between Social Life and Work and its Relationship with Work Stress – An Applied Study on the Ministry of Youth and Sports Affairs In the Kingdom of Bahrain","authors":"Najwa Naseeb Saad Faraj, Atheelah Al Azzawi, S. Darwish, Horiya Al Deeb","doi":"10.5121/ijdkp.2019.9102","DOIUrl":"https://doi.org/10.5121/ijdkp.2019.9102","url":null,"abstract":"The aim of this research is to identify the degree of the balance between social life and work and to measure the level of work stress of the employees of the Ministry of Youth and Sports Af airs in the Kingdom of Bahrain. One hundred employees were surveyed through a random stratified sample. The analysis is based on the outcomes of the questionnaire survey that was given out to a representative sample in the ministry. The researchers hypothesized that there is a significant relationship between the balance of social life, work, and work stress for the employees in the Ministry. Findings revealed the existence of work stress that resulted in work pressure. Employees see their commitment to the vocational rules contributed to improving their professional performance. Management considers the capabilities and skills of the employees when they are assigned to work on tasks.Based on findings, there are some recommendations, including the need for workshops and training sessions to help employees to overcome work stress and deal with multiple teams","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133138863","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
An Efficient Feature Selection Model for IGBO Text IGBO文本的高效特征选择模型
International Journal of Data Mining & Knowledge Management Process Pub Date : 2018-11-30 DOI: 10.5121/IJDKP.2018.8602
J. Ifeanyi-ReubenNkechi, E. Benson-EmenikeMercy
{"title":"An Efficient Feature Selection Model for IGBO Text","authors":"J. Ifeanyi-ReubenNkechi, E. Benson-EmenikeMercy","doi":"10.5121/IJDKP.2018.8602","DOIUrl":"https://doi.org/10.5121/IJDKP.2018.8602","url":null,"abstract":"","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127219717","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: 3
An Efficient Feature Selection Model for IGBO Text IGBO文本的高效特征选择模型
International Journal of Data Mining & Knowledge Management Process Pub Date : 2018-11-30 DOI: 10.2139/ssrn.3389715
Ifeanyi-Reuben Nkechi J, B. Mercy E.
{"title":"An Efficient Feature Selection Model for IGBO Text","authors":"Ifeanyi-Reuben Nkechi J, B. Mercy E.","doi":"10.2139/ssrn.3389715","DOIUrl":"https://doi.org/10.2139/ssrn.3389715","url":null,"abstract":"","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128883782","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
The Impact of Knowledge Management on Achieving Institutional Excellence : The Case of General Coordinator of the Governorates in the Kingdom of Bahrain 知识管理对实现机构卓越的影响:以巴林王国各省总协调员为例
International Journal of Data Mining & Knowledge Management Process Pub Date : 2018-09-30 DOI: 10.5121/IJDKP.2018.8502
Ameena Buqais, S. Aldulaimi, R. Kharabsheh, M. Abdeldayem
{"title":"The Impact of Knowledge Management on Achieving Institutional Excellence : The Case of General Coordinator of the Governorates in the Kingdom of Bahrain","authors":"Ameena Buqais, S. Aldulaimi, R. Kharabsheh, M. Abdeldayem","doi":"10.5121/IJDKP.2018.8502","DOIUrl":"https://doi.org/10.5121/IJDKP.2018.8502","url":null,"abstract":"","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116231652","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: 3
Applicability of Crowd Sourcing to Determine the Best Transportation Method by Analysing User Mobility 通过分析用户移动性来确定最佳交通方式的众包适用性
International Journal of Data Mining & Knowledge Management Process Pub Date : 2018-09-30 DOI: 10.5121/ijdkp.2018.8503
Senanayake J.M.D, Wijayanayake W.M.J.I
{"title":"Applicability of Crowd Sourcing to Determine the Best Transportation Method by Analysing User Mobility","authors":"Senanayake J.M.D, Wijayanayake W.M.J.I","doi":"10.5121/ijdkp.2018.8503","DOIUrl":"https://doi.org/10.5121/ijdkp.2018.8503","url":null,"abstract":"","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115360320","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
Artificial Intelligence Based Data Governance for Chinese Electronic Health Record Analysis 基于人工智能的中国电子病历分析数据治理
International Journal of Data Mining & Knowledge Management Process Pub Date : 2018-05-30 DOI: 10.5121/IJDKP.2018.8303
J. Zhong, X. Yi, Jian Wang, Z. Shao, Panpan Wang, Sen Lin
{"title":"Artificial Intelligence Based Data Governance for Chinese Electronic Health Record Analysis","authors":"J. Zhong, X. Yi, Jian Wang, Z. Shao, Panpan Wang, Sen Lin","doi":"10.5121/IJDKP.2018.8303","DOIUrl":"https://doi.org/10.5121/IJDKP.2018.8303","url":null,"abstract":"Electronic health record (EHR) analysis can leverage great insights to improve the quality of human healthcare. However, the low data quality problems of missing values, inconsistency, and errors in the data setseverely hinder buildingrobust machine learning models for data analysis. In this paper, we develop a methodology ofartificial intelligence (AI)-based data governance to predict the missing values or verify if the existing values are correct and what they should be when they are wrong. We demonstrate the performance of this methodology through a case study ofpatient gender prediction and verification. Experimental resultsshow that the deep learning algorithm of convolutional neural network (CNN) works very wellaccording to the testing performance measured by the quantitative metric of F1-Score, and it outperformsthe support vector machine (SVM) models with different vector representations for documents.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128679431","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: 2
Use of PLS Components to Improve Classification on Business Decision Making 利用PLS组件改进业务决策分类
International Journal of Data Mining & Knowledge Management Process Pub Date : 2018-05-30 DOI: 10.5121/IJDKP.2018.8302
J. F. V. Vilca, Aniel Nieves-González, R. Aparicio
{"title":"Use of PLS Components to Improve Classification on Business Decision Making","authors":"J. F. V. Vilca, Aniel Nieves-González, R. Aparicio","doi":"10.5121/IJDKP.2018.8302","DOIUrl":"https://doi.org/10.5121/IJDKP.2018.8302","url":null,"abstract":"","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128092068","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
Liver Disease Prediction by Using Different Decision Tree Techniques 基于不同决策树技术的肝病预测
International Journal of Data Mining & Knowledge Management Process Pub Date : 2018-03-30 DOI: 10.5121/IJDKP.2018.8201
N. Nahar, F. Ara
{"title":"Liver Disease Prediction by Using Different Decision Tree Techniques","authors":"N. Nahar, F. Ara","doi":"10.5121/IJDKP.2018.8201","DOIUrl":"https://doi.org/10.5121/IJDKP.2018.8201","url":null,"abstract":"","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"1 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131464272","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: 73
Technical review : performance of existing imputation methods for missing data in SVM ensemble creation 技术回顾:现有SVM集成创建中缺失数据的归算方法的性能
International Journal of Data Mining & Knowledge Management Process Pub Date : 2017-11-30 DOI: 10.5121/IJDKP.2017.7606
Shahid Ali, Simon Dacey
{"title":"Technical review : performance of existing imputation methods for missing data in SVM ensemble creation","authors":"Shahid Ali, Simon Dacey","doi":"10.5121/IJDKP.2017.7606","DOIUrl":"https://doi.org/10.5121/IJDKP.2017.7606","url":null,"abstract":"","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142362","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: 5
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