2009 First Asian Conference on Intelligent Information and Database Systems最新文献_第3页

A Novel Multi-objective Affinity Set Classification System: An Investigation of Delayed Diagnosis Detection 一种新的多目标关联集分类系统:延迟诊断检测的研究

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.42

Chih H. Wu, Wei-Ting Li, Chin-Chia Hsu, Chi-Hua Li, I-Ching Fang, Chia-Hsiang Wu

引用次数: 1

A Fuzzy Classifier with Directed Initialization Adaptive Learning of Norm Inducing Matrix 范数诱导矩阵有向初始化自适应学习模糊分类器

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.57

L. Yao, Kuei-Sung Weng, Ren-Wei Chang

引用次数: 1

Using AI Approach to Solve an Integrated Three-Echelon Supply Chain Model with Strategic Alliances 利用人工智能方法求解具有战略联盟的集成三梯队供应链模型

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.26

Jonas C. P. Yu, Yu-Siang Lin, Kung-Jeng Wang, H. Wee

引用次数: 1

Rough Set Based Clustering of the Self Organizing Map 基于粗糙集的自组织映射聚类

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.79

E. Mohebi, M. Sap

引用次数: 12

Mining Multilevel Association Rules on RFID Data RFID数据的多级关联规则挖掘

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.32

Younghee Kim, U. Kim

{"title":"Mining Multilevel Association Rules on RFID Data","authors":"Younghee Kim, U. Kim","doi":"10.1109/ACIIDS.2009.32","DOIUrl":"https://doi.org/10.1109/ACIIDS.2009.32","url":null,"abstract":"In SCM, the problem with RFID data is that the volume increases according to time and location, thus, resulting in an enormous degree of data duplication. Therefore it is difficult to extract useful knowledge hidden in data using existing association rule mining techniques, or analyze data using statistical techniques or queries. However, strong associations discovered at high concept levels may represent common sense knowledge and RFID data represented as a concept hierarchy has the property that the data size at the lowest level increases in proportion to the item group. This paper has two aims. Firstly, we use time generalization to eliminate data duplication. Generalization is useful in data mining since they permit the discovery of knowledge at different levels of abstraction, such as multilevel association rules. Secondly, to reduce the complexity of rule generation by examining association rules limited to the level of interest of the consumer, not all concept hierarchy level on a each concept level have its own level passage threshold. As a result, rule generation time is reduced and the query speed is significantly accelerated, due to filtering of data.","PeriodicalId":275776,"journal":{"name":"2009 First Asian Conference on Intelligent Information and Database Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127954711","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

Stability Analysis of Fuzzy Control for Nonlinear Systems 非线性系统模糊控制的稳定性分析

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.83

Po-Chen Chen, K. Yeh, Cheng-Wu Chen, Shu-Hao Lin

引用次数: 0

Deriving Conceptual Schema from XML Databases 从XML数据库派生概念模式

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.13

O. Y. Yuliana, S. Chittayasothorn

引用次数: 3

Hybrid Genetic-Based Support Vector Regression with Feng Shui Theory for Appraising Real Estate Price 基于混合遗传的支持向量回归与风水理论的房地产价格评估

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.41

Chih H. Wu, Chi-Hua Li, I-Ching Fang, Chin-Chia Hsu, Wei-Ting Lin, Chia-Hsiang Wu

{"title":"Hybrid Genetic-Based Support Vector Regression with Feng Shui Theory for Appraising Real Estate Price","authors":"Chih H. Wu, Chi-Hua Li, I-Ching Fang, Chin-Chia Hsu, Wei-Ting Lin, Chia-Hsiang Wu","doi":"10.1109/ACIIDS.2009.41","DOIUrl":"https://doi.org/10.1109/ACIIDS.2009.41","url":null,"abstract":"In this paper, we proposed a novel house prediction model that integrated hybrid genetic-based support vector regression (HGA-SVR) model and Feng Shui theories for developing a high accuracy appraising real estate price system in Taiwan. In Taiwan, Feng Shui theory applies in choosing good days, divination and house selection. From the past researches, many factors might affect the real estate price which are the announced land values, the building room age, building total number of floor, the transportation condition and surrounding environment of house etc. However, few studies have been considered the Feng Shui effects in appraising real estate price. Therefore, the present study pioneers in applying Feng Shui theories for developing a high accuracy real estate price prediction system with back-propagation neural network(BPN), fuzzy neural network (FNN) and Hybrid Genetic-based SVR (HGA-SVR) to compare.Our results obtained from the comparison between two house price models with various artificial neural network models. By comparing the accuracy with various network architectures, the result demonstrates that HGA-SVR is the best network architecture and the Feng Shui model has a better performance in BPN, FNN and HGA-SVR. Our house price prediction system discovers some real estate price much higher than the reasonable prices. This result shows these unreasonable price needs adjusting to become more reasonable to conform the housing market.","PeriodicalId":275776,"journal":{"name":"2009 First Asian Conference on Intelligent Information and Database Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122715368","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: 11

Using Rough Set and Support Vector Machine for Network Intrusion Detection System 基于粗糙集和支持向量机的网络入侵检测系统

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.59

R. Chen, Kai-Fan Cheng, Ying-Hao Chen, Chia-Fen Hsieh

引用次数: 165

A Weighted Evolving Fuzzy Neural Network for Electricity Demand Forecasting 电力需求预测的加权演化模糊神经网络

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.93

P. Chang, C. Fan, J. Hsieh

引用次数: 12