2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY)最新文献_第5页

Constructing world sustainability models — The challenge of the future 构建世界可持续发展模式——未来的挑战

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080588

E. Pataki, Andor Sagi, A. Sabo

引用次数: 0

Classification of hotel guests by predicted additional spending with ANN decision support system 利用人工神经网络决策支持系统根据预测的额外消费对酒店客人进行分类

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080528

V. Bugarski, D. Matic, F. Kulić

{"title":"Classification of hotel guests by predicted additional spending with ANN decision support system","authors":"V. Bugarski, D. Matic, F. Kulić","doi":"10.1109/SISY.2017.8080528","DOIUrl":"https://doi.org/10.1109/SISY.2017.8080528","url":null,"abstract":"This paper presents a decision support system for classification of hotel guests in the terms of additional spending. The research is conducted on three stars medium-sized hotel. Guests are classified on arrival, during check-in, in one of the two groups: low spending group or high spending group. A low spending group consists of visitors that are anticipated to spend less than 25 Euros per day for additional hotel services. Contrary, a high spending group consists of visitors that are anticipated to spend more than 25 Euros per day on additional spending. The purpose of the research is to design a decision support system to predict an average daily spending of a guest based on available check-in information. The marketing department of a hotel can exploit this information (if available) and adapt promotions of specific goods and services, provided in the hotel, to meet specific customers' needs. This personalization of hotel promotions are expected to increase income, reduce costs and improve the overall image of a hotel in customer ratings. The input parameters of a classifier are derived from the following: how many days in advance a booking is made; how long a visitor plans to stay in the hotel; the price of a daily arrangement and the country of origin. The county of origin is numerically presented by three statistical parameters: GINI coefficient, HDI (Human Development Index) and GDP (Gross Domestic Product) per capita. Artificial neural network classifier is proposed since observed feature space is six dimensional and nonlinear. For classifier selection a new criteria is proposed as a minimum distance from an ideal classifier in receiver operating characteristic plot. Proposed measure is simpler for calculation than Matthew's correlation coefficient and gives information of the overall performance of the classifier. The proposed classifier proved a performance of 84% of correctly classified guests on test data set, which is quite satisfying result for this kind of application.","PeriodicalId":352891,"journal":{"name":"2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988372","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

Cybersecurity issues of pension payments 养老金支付的网络安全问题

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080569

Z. Szabó

引用次数: 4

FPGA-based low-cost real-time face recognition 基于fpga的低成本实时人脸识别

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080568

László Schäffer, Zoltán Kincses, Szilveszter Pletl

引用次数: 7

Evaluation of machine learning algorithms for intrusion detection system 入侵检测系统中机器学习算法的评估

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080566

Mohammad Almseidin, Maen Alzubi, S. Kovács, M. Alkasassbeh

引用次数: 177

Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest 从交通模型开发可用性的角度对出租车数据库的概述:以布达佩斯为例

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080534

Á. Varga, G. Eigner, L. Kovács, I. Felde, Miklos Mezei

引用次数: 1

A expert system for stomach cancer images with artificial neural network by using HOG features and linear discriminant analysis: HOG_LDA_ANN 基于HOG特征和线性判别分析的人工神经网络胃癌图像专家系统:HOG_LDA_ANN

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080576

S. A. Korkmaz, Hamidullah Binol, Aysegul Akcicek, M. Korkmaz

{"title":"A expert system for stomach cancer images with artificial neural network by using HOG features and linear discriminant analysis: HOG_LDA_ANN","authors":"S. A. Korkmaz, Hamidullah Binol, Aysegul Akcicek, M. Korkmaz","doi":"10.1109/SISY.2017.8080576","DOIUrl":"https://doi.org/10.1109/SISY.2017.8080576","url":null,"abstract":"In this study, normal (n), benign (b), and malign (m) stomach image cells have taken from faculty of Medicine the Fırat University with Light Microscope help. Total number of stomach images are 180 which be 60 n, 60 b, and 60 m. 90 of these 180 stomach images have been used for testing purposes and 90 have used for training purposes. The histograms of oriented gradient (HOG) feature vectors have been obtained for normal, benign, and malign original stomach images. The size of these HOG feature vectors is 46900×180. High-dimensional of these HOG feature vectors is reduced to lower-dimensional with Linear Discriminant Analysis (LDA). These low-dimensional data are 180×180. These low-dimensional data are classified as normal benign and malign by artificial neural network (ANN) classification. Thus, HOG_LDA_ANN method for stomach cancer images have developed. Diagnostic accuracy of classification results with this method has found as 88.9%. According to the other methods, this result has higher accuracy result. And this result has found in a shorter time.","PeriodicalId":352891,"journal":{"name":"2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127579282","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: 25

Cyber-medical systems: Challenges and possibilities 网络医疗系统:挑战与可能性

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080527

L. Kovács

引用次数: 0

Age prediction based on brain MRI images using feature learning 基于特征学习的脑MRI图像年龄预测

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080565

Nastaran Pardakhti, H. Sajedi

引用次数: 10

Solution of the repetitive control circuit using W-transform 用w变换求解重复控制电路

2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2017-09-01 DOI: 10.1109/SISY.2017.8080539

M. Tóthová, J. Pitel’, M. Balara

引用次数: 0