2015 IEEE 12th International Conference on e-Business Engineering最新文献_第3页

Personalized Recommendation of E-Commerce Website Category Hierarchy Based on Web Usage Mining and Multidimensional Scaling 基于Web使用挖掘和多维尺度的电子商务网站类别层次个性化推荐

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.23

Peng Wu, Jiamin Wang, Daqing He

引用次数: 1

Review Sentiment Analysis Based on Deep Learning 基于深度学习的评论情感分析

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.24

Zhongkai Hu, Jianqing Hu, Weifeng Ding, Xiaolin Zheng

引用次数: 38

Study on the Model and Algorithm of Internet Trusted Identity Authentication System 互联网可信身份认证系统模型与算法研究

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.76

Yao-Ching Liu, Y. Chai, Yi Liu

引用次数: 0

Schooladvise: Designing a Reputation System for Educational Services through Service Design and Business Modeling 学校咨询:通过服务设计和商业模型设计教育服务的声誉系统

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.52

Sara Capecchi, Mauro Giraudo, Claudia Negro, P. Pisano

引用次数: 0

Relative Patterns Discovery toward Big Data Analytics 面向大数据分析的相对模式发现

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.74

Hao-Ting Pai, Fan Wu, P. Hsueh, Grace Lin, Ya-Hui Chan

{"title":"Relative Patterns Discovery toward Big Data Analytics","authors":"Hao-Ting Pai, Fan Wu, P. Hsueh, Grace Lin, Ya-Hui Chan","doi":"10.1109/ICEBE.2015.74","DOIUrl":"https://doi.org/10.1109/ICEBE.2015.74","url":null,"abstract":"Recently, enterprises and governments invested aggressively in big data analytics because it is truly representative of popular opinion based on millions of people. Despite bringing new opportunities, big data encounters the challenges such as extremely large number of observations (e.g., Millions of transactions), high dimensionality (e.g., Thousands of items), and immediate response. Taking big data into consideration, the conventional association analysis is frustrated by the extraction of patterns information. Specifically, the computational complexity of frequent item sets mining increases exponentially by the number of items, which has been proven to be an NP-Complete problem. Although many studies used a pruning-patterns strategy to reduce the complexity, it probably distorts the shape of data and incurs inaccurate result. In this paper, we introduce relative patterns discovery (named RPD) that explores the same patterns between each two observations. To show that RPD is a pragmatic solution toward big data analytics, we design a scalable outlier detection method (named SOD) based on the concept of RPD. Particularly, SOD can score the anomaly without enumerate all the relative patterns. The empirical investigations, conducted with various real-world datasets, demonstrate that SOD performs well even in the environment of large number of observations and high dimensionality.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121616128","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

A Four-Layer Flexible Spatial Data Framework towards IoT Application 面向物联网应用的四层灵活空间数据框架

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.64

Shuai Luan, Hongming Cai, Fenglin Bu, Lihong Jiang

{"title":"A Four-Layer Flexible Spatial Data Framework towards IoT Application","authors":"Shuai Luan, Hongming Cai, Fenglin Bu, Lihong Jiang","doi":"10.1109/ICEBE.2015.64","DOIUrl":"https://doi.org/10.1109/ICEBE.2015.64","url":null,"abstract":"Huge amounts of spatial documents have been generated every day in IoT (internet of things) applications. Both spatial and textual or other information of complicated structure should be taken into account when providing services. Therefore, it is crucial to store and process these data efficiently in IoT applications. In this paper, we propose a flexible four-layer framework for spatial data towards IoT applications, which decouples the spatial and content information and organizes the whole space with a pyramid structure. The four layers of the framework are geography node, application node, logical node and storage node that are related with the accurate spatial information, content information with rich semantic, flexible space organization and efficient storage with hybrid database respectively. Among them, logical node is the center which associates the other nodes, and provides an efficient query processing method using the pyramid structure. We apply the four-layer framework in the Smarter City Charging Pile System and construct the four kinds of nodes to realize the function that recommends the best matching charging piles for electric vehicle drivers taking both distance and pile state into consideration. The compare discussion shows that our framework has high flexibility, supports rich semantic and is more acceptable in practical IoT applications.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114370315","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

Quantitative E-Business System Design Method 定量电子商务系统设计方法

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.80

Lixin Zhou

引用次数: 3

The Hedonic Method towards Higher-Level Compilation of Online CPI 面向网络CPI高层次编制的享乐主义方法

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.37

Yadong Huang, Y. Chai, Yi Liu, H. Chu

{"title":"The Hedonic Method towards Higher-Level Compilation of Online CPI","authors":"Yadong Huang, Y. Chai, Yi Liu, H. Chu","doi":"10.1109/ICEBE.2015.37","DOIUrl":"https://doi.org/10.1109/ICEBE.2015.37","url":null,"abstract":"Traditionally, direct weighting method is adopted in the calculation of price index in a region. Under the online shopping environment, there are significant differences in consumer spending in different E-commerce enterprises, because the business scope, the main commodities, and the target consumers vary a lot in different enterprises. If the direct weighting method is adopted, the price index of an E-commerce enterprise with lower price increase of all commodities may be higher than the one with higher price increase. The solution is there should be diverse weights of commodities in different enterprises. This paper proposes the Hedonic method towards higher-level compilation of online CPI: elementary price index is regarded as a function of enterprise property and commodity property, and price index by category is calculated using least square method. In addition, the linear form and exponential form of Hedonic method are provided. At last, the Hedonic method is tested by calculating the chain and fixed base price index with real data, and the result shows that not only the testing results but also the price index of the linear form and the exponential form are very similar.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115215724","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

A novel method to measure graph similarity 一种测量图相似度的新方法

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.38

Xu Wang, Jihong Ouyang

引用次数: 0

A Multi-viewed Document Representation for Semantic Document Exchange 语义文档交换的多视图文档表示

2015 IEEE 12th International Conference on e-Business Engineering Pub Date : 2015-10-23 DOI: 10.1109/ICEBE.2015.34

Shuo Yang, J. Guo

引用次数: 2