发布求助
文献互助 智能选刊 最新文献

International Journal of Data Analysis Techniques and Strategies最新文献

筛选
英文 中文
A Novel Integrated Principal Component Analysis and Support vector Machines based diagnostic system for detection of Chronic Kidney disease 一种新的基于主成分分析和支持向量机的慢性肾脏疾病综合诊断系统
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-03-30 DOI: 10.1504/IJDATS.2020.10018953
A. Khamparia, Babita Pandey
{"title":"A Novel Integrated Principal Component Analysis and Support vector Machines based diagnostic system for detection of Chronic Kidney disease","authors":"A. Khamparia, Babita Pandey","doi":"10.1504/IJDATS.2020.10018953","DOIUrl":"https://doi.org/10.1504/IJDATS.2020.10018953","url":null,"abstract":"The alarming growth of chronic kidney disease has become a major issue in our nation. The kidney disease does not have specific target, but individuals with diseases such as obesity, cardiovascular disease and diabetes are all at increased risk. On the contrary, there is no such awareness about related kidney disease and its failure which affects individual's health. Therefore, there is need of providing advanced diagnostic system which improves health condition of individual. The intent of proposed work is to combine emerging data reduction technique, i.e., principal component analysis (PCA) and supervised classification technique support vector machine (SVM) for examination of kidney disease through which patients were being suffered from past. Variety of statistical reasoning and probabilistic features were encountered in proposed work like accuracy and recall parameters which examine the validity of dataset and obtained results. Experimental results concluded that SVM with Gaussian radial basis kernel achieved higher precision and performed better than other models in term of diagnostic accuracy rates.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"12 1","pages":"99-113"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41916827","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: 4
Testing a file carving tool using realistic datasets generated with openness by a user level file system 使用由用户级文件系统生成的具有开放性的真实数据集测试文件雕刻工具
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-03-30 DOI: 10.1504/ijdats.2020.10028002
K. Srinivas, T. Venugopal
{"title":"Testing a file carving tool using realistic datasets generated with openness by a user level file system","authors":"K. Srinivas, T. Venugopal","doi":"10.1504/ijdats.2020.10028002","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10028002","url":null,"abstract":"During the development phase of a file carver, it is inappropriate to use a used hard disk as an input medium due to the fact that the file system does not provide openness regarding file fragmentation and location of data on the disk. In this paper, we propose a method that provides realistic datasets with openness which can be used to test carving tools. Realistic property of datasets is achieved by implementing a file system at user level. A large file is used to mimic a hard disk in this process. The large file, on the hard disk, is handled by the host file system. The same large file to mimic as a test hard disk is handled by a file system at user level and hence openness is achieved.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"13 1","pages":"155-171"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73907127","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
Phase dependent breakdown in bulk arrival queueing system with vacation break-off 带休假中断的批量到达排队系统的相位依赖故障
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-03-30 DOI: 10.1504/ijdats.2020.10028009
S. Niranjan, V. M. Chandrasekaran, K. Indhira
{"title":"Phase dependent breakdown in bulk arrival queueing system with vacation break-off","authors":"S. Niranjan, V. M. Chandrasekaran, K. Indhira","doi":"10.1504/ijdats.2020.10028009","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10028009","url":null,"abstract":"In this queueing model service process is split into two phases called first essential service and second essential service. Here the occurrence of breakdown during first essential service and second essential service are different. When the server got failure during first essential service, service process will be interrupted and sent to repair station immediately. On contrary during second essential service when the server got failure the service will not be interrupted, it performs continuously for current batch by doing some technical precaution arrangements. Server will be repaired after the service completion during renewal period. On service completion, if the queue length is less than 'a' then the server leaves for vacation. During vacation if the queue length reaches the value 'a' then the server breaks the vacation and performs preparatory work to start first essential service. Various performance measures and cost effective model with appropriate numerical solution of the model are presented.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"16 1","pages":"127-154"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75796585","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
Bayesian feature construction for the improvement of classification performance 利用贝叶斯特征构建提高分类性能
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-02-10 DOI: 10.1504/ijdats.2020.10026826
M. Maragoudakis
{"title":"Bayesian feature construction for the improvement of classification performance","authors":"M. Maragoudakis","doi":"10.1504/ijdats.2020.10026826","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10026826","url":null,"abstract":"In this paper we are going to talk about the problem of the increase in validity, concerning the process of classification, but not through approaches having to do with the improvement of the ability to construct a precise classification model using any algorithm of machine learning. On the contrary, we approach this important matter by the view of a wider encoding of the training data and more specifically under the perspective of the creation of more features so that the hidden angles of the subject areas, which model the available data, are revealed to a higher degree. We suggest the use of a novel feature construction algorithm, which is based on the ability of the Bayesian networks to re-enact the conditional independence assumptions of features, bringing forth properties concerning their interrelation that are not clear when a classifier provides the data in their initial form. The results from the increase of the features are shown through the experimental measurement in a wide domain area and after the use of a large number of classification algorithms, where the improvement of the performance of classification is evident.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"44 1","pages":"43-75"},"PeriodicalIF":0.0,"publicationDate":"2020-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84053542","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 novel ensemble classifier by combining sampling and genetic algorithm to combat multiclass imbalanced problems 一种结合采样和遗传算法的集成分类器来解决多类不平衡问题
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-02-10 DOI: 10.1504/ijdats.2020.10026827
Archana Purwar, S. Singh
{"title":"A novel ensemble classifier by combining sampling and genetic algorithm to combat multiclass imbalanced problems","authors":"Archana Purwar, S. Singh","doi":"10.1504/ijdats.2020.10026827","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10026827","url":null,"abstract":"To handle datasets with imbalanced classes is an exigent problem in the area of machine learning and data mining. Though a lot of work has been done by many researchers in the literature for two-class imbalanced problems, the multiclass problems still need to be explored. In this paper, we propose sampling and genetic algorithm based ensemble classifier (SA-GABEC) to handle imbalanced classes. SA-GABEC tries to find the best subset of classifiers for a given sample that is precise in predictions and can create an acceptable diversity in features subspace. These subsets of classifiers are fused together to give better predictions as compared to a single classifier. Moreover, this paper also proposes modified SA-GABEC which performs the feature selection before applying sampling and outperforms SA-GABEC. The performance of the proposed classifiers is evaluated and compared with GAB-EPA, Adaboost and bagging using minority class recall and extended G-mean.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"1 1","pages":"30-42"},"PeriodicalIF":0.0,"publicationDate":"2020-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88908697","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: 4
Dynamics of the network economy: a content analysis of the search engine trends and correlate results using word clusters 动态的网络经济:内容分析的搜索引擎趋势和相关的结果使用词集群
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-02-10 DOI: 10.1504/ijdats.2020.10026833
Murat Yaslioglu
{"title":"Dynamics of the network economy: a content analysis of the search engine trends and correlate results using word clusters","authors":"Murat Yaslioglu","doi":"10.1504/ijdats.2020.10026833","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10026833","url":null,"abstract":"Network economy is a relatively untouched area, strategic approach to the dynamics of this new economy is quite limited. Network economy is about the networks. Thus, it was decided to follow up the information on the internet including almost every kind of documentation. First, a deep relation analysis using trends was conducted to find out the related topics to new economy's dynamics: network effect, network externalities, interoperability, big data, open standards and social media. After the relation analysis, correlates of aforementioned keywords were analysed. Finally, all the clean 'top results' on the web were collected by the help of Linux command line tools into various, large text files. These files were analysed by the help of Nvivo qualitative analysis tool to form clusters. By the broad information available at hand, an extensive discussion on each result is written. It is believed that this new research approach will also guide many future researches on various subjects.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"8 1","pages":"1-29"},"PeriodicalIF":0.0,"publicationDate":"2020-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89584071","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
Hybrid fuzzy logic and gravitational search algorithm-based multiple filters for image restoration 基于混合模糊逻辑和引力搜索算法的多滤波器图像恢复
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-02-10 DOI: 10.1504/ijdats.2020.10026840
A. Senthilselvi, R. Sukumar, S. Senthilpandi
{"title":"Hybrid fuzzy logic and gravitational search algorithm-based multiple filters for image restoration","authors":"A. Senthilselvi, R. Sukumar, S. Senthilpandi","doi":"10.1504/ijdats.2020.10026840","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10026840","url":null,"abstract":"In this paper, we present a multiple image filters for removal of impulse noises from test images. It utilises fuzzy logic (FL) approach to design a noise detector (ND) optimised by gravitational search algorithm (GSA) and utilises median filter (MF) for restoring. The proposed multiple filters used the FL approach to detect each pixels of a tests image are noise corrupted or not. If it is considered as noise-corrupted, the multiple filters restore it with the MF filter. Otherwise, it remains unchanged. We split the image into number of windows and each window apply the multiple filters. The filter output is used for the rule generation. The optimal rules are selected using GSA and given to the fuzzy logic system to detect the noise pixel. The experimental results are carried out using different noise level and different methods. The performance measured in terms of PSNR, MSE and visual quality.","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"14 1","pages":"76-97"},"PeriodicalIF":0.0,"publicationDate":"2020-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87125441","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
Inference in mixed linear models with four variance components - Sub-D and Sub-DI 混合线性模型与四个方差成分的推理- Sub-D和Sub-DI
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-01-01 DOI: 10.1504/ijdats.2020.10021769
Adilson Silva, António Monteiro, M. Fonseca
{"title":"Inference in mixed linear models with four variance components - Sub-D and Sub-DI","authors":"Adilson Silva, António Monteiro, M. Fonseca","doi":"10.1504/ijdats.2020.10021769","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10021769","url":null,"abstract":"","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"7 1","pages":"318-334"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79007897","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 study of the effect of customer citizenship behaviour on service quality, purchase intentions and customer satisfaction 顾客公民行为对服务品质、购买意愿及顾客满意之影响研究
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-01-01 DOI: 10.1504/ijdats.2020.10033826
T. Fotiadis
{"title":"A study of the effect of customer citizenship behaviour on service quality, purchase intentions and customer satisfaction","authors":"T. Fotiadis","doi":"10.1504/ijdats.2020.10033826","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10033826","url":null,"abstract":"","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"56 1","pages":"349-366"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76924298","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
A novel centroids initialisation for K-means clustering in the presence of benign outliers 一种新的k均值聚类初始化方法
International Journal of Data Analysis Techniques and Strategies Pub Date : 2020-01-01 DOI: 10.1504/ijdats.2020.10033827
Amin Karami, Shafiq Urréhman, M. Ghazanfar
{"title":"A novel centroids initialisation for K-means clustering in the presence of benign outliers","authors":"Amin Karami, Shafiq Urréhman, M. Ghazanfar","doi":"10.1504/ijdats.2020.10033827","DOIUrl":"https://doi.org/10.1504/ijdats.2020.10033827","url":null,"abstract":"","PeriodicalId":38582,"journal":{"name":"International Journal of Data Analysis Techniques and Strategies","volume":"39 1","pages":"287-298"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90248810","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
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