发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
A Case Study of Process Engineering of Operations In Working Sites Through Data Mining and Augmented Reality 基于数据挖掘和增强现实的作业现场过程工程案例研究
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-09-30 DOI: 10.5121/ijdkp.2019.9501
A. Massaro, A. Galiano, Antonio Mustich, Daniele Convertini, Vincenzo Maritati, A. Colonna, Nicola Savino, A. Pace, L. Iaquinta
{"title":"A Case Study of Process Engineering of Operations In Working Sites Through Data Mining and Augmented Reality","authors":"A. Massaro, A. Galiano, Antonio Mustich, Daniele Convertini, Vincenzo Maritati, A. Colonna, Nicola Savino, A. Pace, L. Iaquinta","doi":"10.5121/ijdkp.2019.9501","DOIUrl":"https://doi.org/10.5121/ijdkp.2019.9501","url":null,"abstract":"In this paper is analyzed the design of a software platform concerning a case study of process engineering involving the simultaneous adoption of data digitation, Data Mining –DM- processing, and Augmented Reality -AR-. Specifically is discussed the platform design able to upgrade the Knowledge Base –KB-enabling production process optimizations in working sites. The KB is gained by following ‘Frascati’ research guidelines addressing the possible ways to achieve the Knowledge Gain –KG-. The technologies such as AR and data entry mobile app are tailored in order to apply innovative data mining algorithms. In the first part of the paper is commented the preliminary project specifications, besides, in the second part, are shown the use cases, the unified modeling language –UML- models, and the mobile app mockups enabling KG. The proposed work discusses preliminary results of an industry project.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124663861","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
Access and Connection Via Tech Data as an Enabler Af A Thin or Nonexistent Market 在稀薄或不存在的市场中，通过技术数据实现访问和连接
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-09-30 DOI: 10.5121/ijdkp.2019.9502
Bathabile S C Amirchand
{"title":"Access and Connection Via Tech Data as an Enabler Af A Thin or Nonexistent Market","authors":"Bathabile S C Amirchand","doi":"10.5121/ijdkp.2019.9502","DOIUrl":"https://doi.org/10.5121/ijdkp.2019.9502","url":null,"abstract":"","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124097770","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
A Graph Based Approach for Effective Influencer Marketing 基于图表的有效网红营销方法
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-07-31 DOI: 10.5121/IJDKP.2019.9402
S. Ansari, Muhammad Ahsan Tahir, Shah Bukhari
{"title":"A Graph Based Approach for Effective Influencer Marketing","authors":"S. Ansari, Muhammad Ahsan Tahir, Shah Bukhari","doi":"10.5121/IJDKP.2019.9402","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9402","url":null,"abstract":"We present a novel graph-based approach to find the optimal set of influencers from a large pool of influencers. The goal is to select minimum number of influencers that can reach the desired audience. In order to find such a set, one has to compute the reach of all possible combinations of available influencers resulting in complexity of order O (n 2 ). Our proposed greedy approach selects the pair of influencers that results in highest reach at every iteration reducing the complexity to O(n 2 ). Our work is complimented with analysis of 550 Instagram influencers and over 100,000 post. After the analysis, we concluded that influencers who prefer quality over quantity receives better engagement. Influencers sharing 3 posts per week and posts with caption length of over 500 characters relatively received better engagement numbers.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127867846","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
Implementation of Risk Analyzer Model for Undertaking the Risk Analysis of Proposed Building Projects for A Selected Client 风险分析模型在为某选定客户进行拟建项目风险分析中的应用
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-07-31 DOI: 10.5121/IJDKP.2019.9403
I. Yakubu
{"title":"Implementation of Risk Analyzer Model for Undertaking the Risk Analysis of Proposed Building Projects for A Selected Client","authors":"I. Yakubu","doi":"10.5121/IJDKP.2019.9403","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9403","url":null,"abstract":"The model of RISK ANALYZER was implemented as Knowledge-based System for the purpose of undertaking risk analysis for proposed construction projects in a selected domain. The Fuzzy Decision Variables (FDVs) that cause differences between initial and final contract sums of building projects were identified, the likelihood of the occurrence of the risks were determined and a Knowledge-Based System that would rank the risks was constructed using JAVA programming language and Graphic User Interface. The Knowledge-Based System is composed a Knowledge Base for storing data, an Inference Engine for controlling and directing the use of knowledge for problem-solution, and a User Interface that assists the user retrieve, use and alter data in the Knowledge Base. The developed Knowledge-Based System was compiled, implemented and validated with data of previously completed projects. The client could utilize the Knowledge-Based System to undertake proposed building projects.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131857397","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
Application of Data Mining Technique to Predict Landslides in Sri Lanka 数据挖掘技术在斯里兰卡滑坡预测中的应用
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-07-31 DOI: 10.5121/IJDKP.2019.9404
K. Karunanayake, W. Wijayanayake
{"title":"Application of Data Mining Technique to Predict Landslides in Sri Lanka","authors":"K. Karunanayake, W. Wijayanayake","doi":"10.5121/IJDKP.2019.9404","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9404","url":null,"abstract":"Landslides are the major natural disaster in hill country of Sri Lanka, which create terrible economical and ecological damages. Therefore, the fast detection is important. Currently in Sri Lanka,predict landslides based on a map reading approach. But a map is limited to specific point in time, and do not take current conditions into account. Therefore, develop a model/tool which has ability to efficiently deal with current situation is important. Hence within this study, prediction models were developed using Decision Tree and Neural Network data mining techniques,based on the data of Badulla and NuwaraEliya districts. Selected Decision Tree model for Badulla district has 96.2963% accuracy level and Nuwara Eliya district has 100% accuracy level. Though Decision tree models were outperformed, Neural Network models also have above 90% accuracy. Therefore, it can be concluded that both data mining techniques are suitableto developlandslide prediction models for Sri Lanka","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114855984","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
Categorization of Factors Affecting Classification Algorithms Selection 影响分类算法选择的因素分类
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-07-31 DOI: 10.5121/IJDKP.2019.9401
M. Reda, M. Nassef, A. Salah
{"title":"Categorization of Factors Affecting Classification Algorithms Selection","authors":"M. Reda, M. Nassef, A. Salah","doi":"10.5121/IJDKP.2019.9401","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9401","url":null,"abstract":"A lot of classification algorithms are available in the area of data mining for solving the same kind of problem with a little guidance for recommending the most appropriate algorithm to use which gives best results for the dataset at hand. As a way of optimizing the chances of recommending the most appropriate classification algorithm for a dataset, this paper focuses on the different factors considered by data miners and researchers in different studies when selecting the classification algorithms that will yield desired knowledge for the dataset at hand. The paper divided the factors affecting classification algorithms recommendation into business and technical factors. The technical factors proposed are measurable and can be exploited by recommendation software tools.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124173338","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: 6
APPLICATION OF TWO-STAGE MCDM TECHNIQUES IN EVALUATING THE PERFORMANCE OF ELECTRONIC PAYMENT SYSTEMS IN GHANA 两阶段MCDM技术在加纳电子支付系统性能评估中的应用
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-05-31 DOI: 10.5121/IJDKP.2019.9301
Dennis Asante, Evans Opoku‐Mensah, P. Darko
{"title":"APPLICATION OF TWO-STAGE MCDM TECHNIQUES IN EVALUATING THE PERFORMANCE OF ELECTRONIC PAYMENT SYSTEMS IN GHANA","authors":"Dennis Asante, Evans Opoku‐Mensah, P. Darko","doi":"10.5121/IJDKP.2019.9301","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9301","url":null,"abstract":"Electronic payment systems act as a catalyst in the economic development of many developing countries. However, their evaluation has become a daunting task over the years. This research employed a two-stage multi-criteria decision analysis (MCDA) to evaluate e-payment systems in Ghana. The AHP method was utilized to find the contribution scores of the various criteria for the performance of the e-payment systems. With the aid of the Probability Linguistic-TOPSIS (PL-TOPSIS) approach, we obtained the performance scores of the e-payment systems and ranked them. Among the six indicators employed in this study, we found cost-effectiveness to be the major indicator of an e-payment system performance. The performance ranking results indicated that credit/debit card has the highest performance score, followed by mobile money, ATM, online banking, and E-zwitch, respectively. We contribute to literature by providing intuitions on how AHP and PL-TOPSIS methods can be applied to evaluate the performance of e-payment systems.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131876810","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: 9
COST-SENSITIVE TOPICAL DATA ACQUISITION FROM THE WEB 从网络获取成本敏感的主题数据
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-05-31 DOI: 10.5121/IJDKP.2019.9304
Mahdi Naghibi, R. Anvari, A. Forghani, B. Minaei
{"title":"COST-SENSITIVE TOPICAL DATA ACQUISITION FROM THE WEB","authors":"Mahdi Naghibi, R. Anvari, A. Forghani, B. Minaei","doi":"10.5121/IJDKP.2019.9304","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9304","url":null,"abstract":"The cost of acquiring training data instances for induction of data mining models is one of the main concerns in real-world problems. The web is a comprehensive source for many types of data which can be used for data mining tasks. But the distributed and dynamic nature of web dictates the use of solutions which can handle these characteristics. In this paper, we introduce an automatic method for topical data acquisition from the web. We propose a new type of topical crawlers that use a hybrid link context extraction method for topical crawling to acquire on-topic web pages with minimum bandwidth usage and with the lowest cost. The new link context extraction method which is called Block Text Window (BTW), combines a text window method with a block-based method and overcomes challenges of each of these methods using the advantages of the other one. Experimental results show the predominance of BTW in comparison with state of the art automatic topical web data acquisition methods based on standard metrics.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134542526","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
APPLYING NEURAL NETWORKS FOR SUPERVISED LEARNING OF MEDICAL DATA 应用神经网络对医疗数据进行监督学习
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-05-31 DOI: 10.5121/IJDKP.2019.9303
Ourida Ben Boubaker
{"title":"APPLYING NEURAL NETWORKS FOR SUPERVISED LEARNING OF MEDICAL DATA","authors":"Ourida Ben Boubaker","doi":"10.5121/IJDKP.2019.9303","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9303","url":null,"abstract":"Constructing a classification model based on some given patterns is a form of learning from the environment perception. This modelling aims to discover new knowledge embedded in the input observations. Learning behaviour of the neural network model enhances the classification properties. This paper considers artificial neural networks for learning two different medical data sets in term of number of instances. The experiment results confirm that the back-propagation supervised learning algorithm has proved its efficiency for such non-linear classification issues.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134374066","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
SENTIMENT ANALYSIS FOR MOVIES REVIEWS DATASET USING DEEP LEARNING MODELS 基于深度学习模型的电影评论数据集情感分析
International Journal of Data Mining & Knowledge Management Process Pub Date : 2019-05-31 DOI: 10.5121/IJDKP.2019.9302
Nehal M. Ali, M. M. A. E. Hamid, A. Youssif
{"title":"SENTIMENT ANALYSIS FOR MOVIES REVIEWS DATASET USING DEEP LEARNING MODELS","authors":"Nehal M. Ali, M. M. A. E. Hamid, A. Youssif","doi":"10.5121/IJDKP.2019.9302","DOIUrl":"https://doi.org/10.5121/IJDKP.2019.9302","url":null,"abstract":"Due to the enormous amount of data and opinions being produced, shared and transferred everyday across the internet and other media, Sentiment analysis has become vital for developing opinion mining systems. This paper introduces a developed classification sentiment analysis using deep learning networks and introduces comparative results of different deep learning networks. Multilayer Perceptron (MLP) was developed as a baseline for other networks results. Long short-term memory (LSTM) recurrent neural network, Convolutional Neural Network (CNN) in addition to a hybrid model of LSTM and CNN were developed and applied on IMDB dataset consists of 50K movies reviews files. Dataset was divided to 50% positive reviews and 50% negative reviews. The data was initially pre-processed using Word2Vec and word embedding was applied accordingly. The results have shown that, the hybrid CNN_LSTM model have outperformed the MLP and singular CNN and LSTM networks. CNN_LSTM have reported the accuracy of 89.2% while CNN has given accuracy of 87.7%, while MLP and LSTM have reported accuracy of 86.74% and 86.64 respectively. Moreover, the results have elaborated that the proposed deep learning models have also outperformed SVM, Na・・ve Bayes and RNTN that were published in other works using English datasets.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125619519","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: 47
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
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
请完成安全验证×
相关产品
×
本文献相关产品
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信