2014 IEEE 26th International Conference on Tools with Artificial Intelligence最新文献_第8页

Temporal and Spatial Clustering for a Parking Prediction Service 停车预测服务的时空聚类

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.49

Felix Richter, S. Martino, D. Mattfeld

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引用次数: 59

An Introduction to the JADEL Programming Language JADEL程序设计语言简介

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.147

F. Bergenti

引用次数: 27

A Versatile Description Framework for Modeling Behaviors in Traffic Simulations 交通仿真中行为建模的通用描述框架

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.158

Alexandre Bonhomme, P. Mathieu, S. Picault

引用次数: 8

Athena: A Visual Tool to Support the Development of Computational Intelligence Systems 雅典娜:支持计算智能系统开发的可视化工具

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.144

Pedro Almir Oliveira, Matheus Souza, Ronyérison Braga, Ricardo Britto, R. Rabêlo, P. Neto

引用次数: 4

Compact Representations of Cooperative Path-Finding as SAT Based on Matchings in Bipartite Graphs 基于二部图匹配的协同寻径压缩表示

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.134

Pavel Surynek

引用次数: 41

Clustering Human Wrist Pulse Signals via Multiple Criteria Decision Making 基于多准则决策的腕部脉搏信号聚类

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.44

B. Dong, Peihuan Gao, Hongwu Wang, Shizhong Liao

{"title":"Clustering Human Wrist Pulse Signals via Multiple Criteria Decision Making","authors":"B. Dong, Peihuan Gao, Hongwu Wang, Shizhong Liao","doi":"10.1109/ICTAI.2014.44","DOIUrl":"https://doi.org/10.1109/ICTAI.2014.44","url":null,"abstract":"In this paper, we cluster a unlabeled human wrist pulse signal data set via a multiple criteria decision making (MCDM) framework to mine useful information for further study. First, a preprocessing scheme is performed and spatial features are extracted to represent a pulse signal. Then, a list of clustering algorithms are initialized to generate a number of clustering alternatives. The goodness of these clustering alternatives are sequentially comprehensively evaluated by 11 criteria, including ten internal cluster validation indices and an ad-hoc index, the robustness to noise, which is proposed for assessing the clustering alternatives of the pulse data set with spatial features. Taking the evaluation results as inputs, the technique for order preference by similarity to ideal solution (TOPSIS) method is employed to solve the resulting MCDM model. According to the TOPSIS rank, clustering the data set into thirteen clusters via k-means is optimal. Samples drawn from each cluster have similar patterns, corresponding to specific pulse type in traditional Chinese pulse diagnosis. The thirteen clusters are segregated into two groups, namely the healthy and the unhealthy, which can be further applied for unhealthy pulse detection.","PeriodicalId":142794,"journal":{"name":"2014 IEEE 26th International Conference on Tools with Artificial Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131359560","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

On the Characterization of Inconsistency: A Prime Implicates Based Framework 关于不一致性的表征:一个基于素数隐含的框架

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.31

Saïd Jabbour, Yue Ma, Badran Raddaoui, L. Sais

引用次数: 8

Information Quantity Based Automatic Reconstruction of Shredded Chinese Documents 基于信息量的中文撕碎文件自动重构

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.154

Bo Zhao, Yu Zhou, Zhengyu Zhang, Ying Na, Tinghuai Ma

引用次数: 6

Mining Relevant Sequence Patterns with CP-Based Framework 基于cp框架的相关序列模式挖掘

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.89

Amina Kemmar, W. Ugarte, S. Loudni, Thierry Charnois, Yahia Lebbah, P. Boizumault, B. Crémilleux

引用次数: 17

Multiple Contraction through Partial-Max-SAT 通过Partial-Max-SAT进行多次收缩

2014 IEEE 26th International Conference on Tools with Artificial Intelligence Pub Date : 2014-11-10 DOI: 10.1109/ICTAI.2014.56

É. Grégoire, Jean-Marie Lagniez, Bertrand Mazure

引用次数: 1