2017 International Conference on Computer Science and Engineering (UBMK)最新文献_第5页

On reducing space complexity of fuzzy neighborhood based clustering algorithms 降低模糊邻域聚类算法空间复杂度的研究

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093467

C. Atilgan, E. Nasibov

引用次数: 0

Correlation analysis of egg gender determination data 卵子性别测定数据的相关分析

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093448

Ünsal Gökdağ, Esra Çinar

引用次数: 0

Twitter fake account detection 推特虚假账户检测

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093420

Buket Erşahin, Özlem Aktaş, Deniz Kılınç, Ceyhun Akyol

引用次数: 79

An experimental comparison of software effort estimation methods of ORM based 4GL software applications 基于ORM的4GL软件应用软件工作量估算方法的实验比较

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093382

Muhammed Tanriverdi, Ö. Ö. Tanriöver

引用次数: 1

Remote controllable electronic signboard 遥控电子招牌

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093561

Sabri Gültekin, C. Karakuzu

引用次数: 0

Sentiment classification of social media data for telecommunication companies in Turkey 土耳其电信公司社交媒体数据的情感分类

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093419

Ismail Iseri, Ömer Faruk Atasoy, Harun Alçiçek

{"title":"Sentiment classification of social media data for telecommunication companies in Turkey","authors":"Ismail Iseri, Ömer Faruk Atasoy, Harun Alçiçek","doi":"10.1109/UBMK.2017.8093419","DOIUrl":"https://doi.org/10.1109/UBMK.2017.8093419","url":null,"abstract":"In recent years, the huge amount of data that has emerged in the world as a result of a very rapid increase in digital data has brought about the storage, processing and analysis of data into business intelligence solutions. One of the biggest sources of this large-scale data that has emerged and continues to grow is the data produced from social media tools. The average daily amount generated by Twitter social media is around 7 terabytes and this value increases day by day. Twitter is a social media tool that users express their feelings and thoughts about commercial companies, about social events, or sharing in any subject. In this study, a sentiment classification study was carried out on the tweets that were taken in the two selected date ranges of two major telecommunication companies serving in Turkey. The feature vectors obtained by two different feature extraction methods from the tweets where the users shared are classified as “positive / negative” by using KNN classifier. In this way, Twitter users' thoughts and satisfaction about three telecommunication companies in Turkey were determined in two selected dates.","PeriodicalId":201903,"journal":{"name":"2017 International Conference on Computer Science and Engineering (UBMK)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129519943","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

Cloud-based E-health systems: Security and privacy challenges and solutions 基于云的电子医疗系统:安全和隐私挑战与解决方案

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093549

M. Dawoud, D. Altilar

{"title":"Cloud-based E-health systems: Security and privacy challenges and solutions","authors":"M. Dawoud, D. Altilar","doi":"10.1109/UBMK.2017.8093549","DOIUrl":"https://doi.org/10.1109/UBMK.2017.8093549","url":null,"abstract":"For a long time, the sensitivity and criticality of data storage, processing, and transmission have hindered the wide utilization of IT and networks in the health care systems. Recently, the high availability, reachability, reliability, efficiency, usability and automation provided by the different cloud computing models paved the way to integrate the e-health systems with these cloud services to improve their efficiencies. However, security and privacy still constitute the main concern in the current models of cloud computing for cloud-based e-health care systems. The convergence and integration of different services with different capabilities and ownerships means high risks on security and privacy of the data, which are not negotiable in e-health care systems. There have been many proposals to solve some of these concerns specifically or among other protocols. In this paper we define differents cenarios for the integration of the e-health systems with the cloud computing systems. We also define the security and privacy requirements for these scenarios as well as the guidelines of the proposed solutions for the presented security and privacy problems.","PeriodicalId":201903,"journal":{"name":"2017 International Conference on Computer Science and Engineering (UBMK)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129733009","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

Image classification with caffe deep learning framework 基于caffe深度学习框架的图像分类

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093433

Emine Cengil, A. Cinar, E. Özbay

引用次数: 29

Prediction of heart disease using neural network 用神经网络预测心脏病

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093512

Tülay Karayılan, Özkan Kiliç

引用次数: 87

The effect of genetic algorithm parameters in the solution of the course timetable problem 遗传算法参数在课程时间表问题求解中的作用

2017 International Conference on Computer Science and Engineering (UBMK) Pub Date : 2017-10-01 DOI: 10.1109/UBMK.2017.8093488

R. Çolak, T. Yi̇ği̇t

{"title":"The effect of genetic algorithm parameters in the solution of the course timetable problem","authors":"R. Çolak, T. Yi̇ği̇t","doi":"10.1109/UBMK.2017.8093488","DOIUrl":"https://doi.org/10.1109/UBMK.2017.8093488","url":null,"abstract":"Course timetabiling is a process that must be done at the beginning of the education period in all educational institutions. The purpose of the timetabling is to bring together classrooms, lectures, students and lecturers at the same time without any conflicts. Course timetabiling is a difficult problem to solve when classroom constraints, teaching staff preferences, course restrictions are taken into consideration. With a deterministic approach, it can take a lot of time to try all the possibilities and reach a definite solution, and in cases where there are a lot of constraints, no definite solution can be found. In this study, the solving effect of the genetic algorithm parameters, which is an heuristic approach used in the course timetabiling problem, is investigated. Tests were performed for different iteration of different population size with different crossover and mutation rates. As a result of the experiments, it has been observed that the election operator who decides on the new generation will be effective. The selection operator can be set up as a function that depends on the number of individuals, so that better results can be obtained.","PeriodicalId":201903,"journal":{"name":"2017 International Conference on Computer Science and Engineering (UBMK)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116027891","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