International Journal of Data Mining Techniques and Applications最新文献_第8页

Relevance of Reaction Surface Strategy and Artificial Neural Network Proposal in Representing and Development of Confession-Suction Procedure 反应面策略与人工神经网络方案在招供程序表现与发展中的相关性

International Journal of Data Mining Techniques and Applications Pub Date : 2018-03-15 DOI: 10.20894/ijdmta.102.007.001.002

M. Roberts, C. Vijayakumar, K. Sharmila

引用次数: 0

Silhouette Threshold Based Text Clustering for Log Analysis 基于剪影阈值的日志文本聚类分析

International Journal of Data Mining Techniques and Applications Pub Date : 2017-06-26 DOI: 10.20894/IJDMTA.102.006.001.004

J. J

{"title":"Silhouette Threshold Based Text Clustering for Log Analysis","authors":"J. J","doi":"10.20894/IJDMTA.102.006.001.004","DOIUrl":"https://doi.org/10.20894/IJDMTA.102.006.001.004","url":null,"abstract":"- Automated log analysis has been a dominant subject area of interest to both industry and academics alike. The heterogeneous nature of system logs, the disparate sources of logs (Infrastructure, Networks, Databases and Applications) and their underlying structure & formats makes the challenge harder. In this paper I present the less frequently used document clustering techniques to dynamically organize real time log events (e.g. Errors, warnings) to specific categories that are pre-built from a corpus of log archives. This kind of syntactic log categorization can be exploited for automatic log monitoring, priority flagging and dynamic solution recommendation systems. I propose practical strategies to cluster and correlate high volume log archives and high velocity real time log events; both in terms of solution quality and computational efficiency. First I compare two traditional partitional document clustering approaches to categorize high dimensional log corpus. In order to select a suitable model for our problem, Entropy, Purity and Silhouette Index are used to evaluate these different learning approaches. Then I propose computationally efficient approaches to generate vector space model for the real time log events. Then to dynamically relate them to the categories from the corpus, I suggest the use of a combination of critical distance measure and least distance approach. In addition, I introduce and evaluate three different critical distance measures to ascertain if the real time event belongs to a totally new category that is unobserved in the corpus.","PeriodicalId":414709,"journal":{"name":"International Journal of Data Mining Techniques and Applications","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127359460","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

A Survey on Multi Keyword Search Methods over Encrypted Data in Single Cloud Environment 单云环境下加密数据多关键字搜索方法研究

International Journal of Data Mining Techniques and Applications Pub Date : 2017-06-26 DOI: 10.20894/IJDMTA.102.006.001.002

S. Devi, V. Senthilkumar

{"title":"A Survey on Multi Keyword Search Methods over Encrypted Data in Single Cloud Environment","authors":"S. Devi, V. Senthilkumar","doi":"10.20894/IJDMTA.102.006.001.002","DOIUrl":"https://doi.org/10.20894/IJDMTA.102.006.001.002","url":null,"abstract":"- Cloud computing [11] is a tremendous growth in every years and it can be utility the computing and large storage capability to the public users. The data owner can store the data in the cloud server is called data outsourcing and then the cloud data access for public users through the cloud server. The outsourced data are contains sensitive privacy information and it can be encrypted before uploaded to the cloud server and then the search user can access to the data through the cloud server is some difficulty of searching over the encrypted data in cloud. In this paper address this problem by developed the fine-grained multi-keyword search scheme over encrypted data in the cloud. There are three contribution of this paper. First one is, to provided relevance scores and preference factors upon keywords which enabled the precise keyword search. Second one is, to developed a complicated logic search the mixed AND, OR and NO operations of multi-keyword search scheme. And finally, auxiliary employ the classified sub-dictionaries technique to accomplish the index building, trapdoor generating and query. By using this experiments to the real-world dataset, so easily retrieve the result from dataset.","PeriodicalId":414709,"journal":{"name":"International Journal of Data Mining Techniques and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116327119","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

Grey Wolf Optimizer Based Web usage Data Clustering with Enhanced Fuzzy C Means Algorithm 基于灰狼优化器的Web使用数据聚类与增强模糊C均值算法

International Journal of Data Mining Techniques and Applications Pub Date : 2017-06-26 DOI: 10.20894/IJDMTA.102.006.001.003

P. Selvaraju, B. Kalaavathi

引用次数: 1

Fuzzy Quasi Regular Ring 模糊拟正则环

International Journal of Data Mining Techniques and Applications Pub Date : 2017-06-26 DOI: 10.20894/IJDMTA.102.006.001.007

Shrooq Bahjat Smeein

引用次数: 0

A Novel Cryptographic Approach for Privacy Preserving in Big Data Analysis for Sensitive Data 敏感数据大数据分析中隐私保护的一种新的加密方法

International Journal of Data Mining Techniques and Applications Pub Date : 2017-06-26 DOI: 10.20894/IJDMTA.102.006.001.006

K. Sujatha, N. Rajesh, Udayarani

引用次数: 0

Using Functions and Cyclic Group in Calculated Questions Moodle 3.2 在计算题中使用函数和循环群

International Journal of Data Mining Techniques and Applications Pub Date : 2017-06-26 DOI: 10.20894/IJDMTA.102.006.001.008

R. RanjithKumarK, A. NaseerAhmed

引用次数: 0

A Survey on E-Learning System with Data Mining 基于数据挖掘的电子学习系统研究

International Journal of Data Mining Techniques and Applications Pub Date : 2017-06-24 DOI: 10.20894/IJDMTA.102.006.001.001

Bhagyalakshmi Aechham, P. Govindarajulu

引用次数: 0

Data Mining @ Information Age 信息时代的数据挖掘

International Journal of Data Mining Techniques and Applications Pub Date : 2016-12-15 DOI: 10.20894/IJDMTA.102.005.002.012

M. Arunmozhi, R. Usha

引用次数: 0

Finding influential healthcare interventions of different socio-economically and educationally segmented regions by using data mining techniques: case study on nine high focus states of India 通过使用数据挖掘技术寻找不同社会经济和教育分割区域的有影响力的医疗保健干预措施:对印度九个高度关注的州的案例研究

International Journal of Data Mining Techniques and Applications Pub Date : 2016-12-15 DOI: 10.20894/IJDMTA.102.005.002.013

P. Saha, U. K. Banerjee

{"title":"Finding influential healthcare interventions of different socio-economically and educationally segmented regions by using data mining techniques: case study on nine high focus states of India","authors":"P. Saha, U. K. Banerjee","doi":"10.20894/IJDMTA.102.005.002.013","DOIUrl":"https://doi.org/10.20894/IJDMTA.102.005.002.013","url":null,"abstract":"- United Nations at Millennium Summit 2000 made targets on Under-five Mortality Ratio (U5MR) and Maternal Mortality Ratio (MMR) for improving health condition of mothers and children. Though India did not be able to achieve those targets but have improved significantly. Aim of the study is to find out influential healthcare interventions of socio-economically and educationally different regions which have high impact on their HIs. At resource constrained condition, strategic evidence based planning will help healthcare department to reduce inequity in HIs among different regions. Data of different HIs has been collected from Family Welfare Statistics of India 2012 and healthcare interventions have been collected from District Level Household Survey 3. 192 districts from ‘Nine High Focus States of India’ have been used as case study area in this research work. Both hierarchical and k-means, clustering techniques have been used for segmenting 192 districts based on their socio-economic and educational status and decision tree classification technique has been used for building relationship model for each segment. Total six decision tree classifiers have been developed for identifying most influential interventions on Infant Mortality Rate (IMR) and U5MR. From this work it has become clear that impact of healthcare interventions on healthcare indicators varies from region to region. In hilly regions, adolescent interventions had more impact on U5MR and IMR than child age interventions.","PeriodicalId":414709,"journal":{"name":"International Journal of Data Mining Techniques and Applications","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115614030","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