2011 IEEE 8th International Conference on e-Business Engineering最新文献_第2页

Using E-learning and Situated Learning Theory: Practical Lessons from the Vocational Special Education Students 运用网络学习和情境学习理论:职业特殊教育学生的实践课

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.70

Y. Jeng, Shuzhen Lu, Hong Lin

引用次数: 5

A Neural Network Based Forecasting Method For the Unemployment Rate Prediction Using the Search Engine Query Data 基于神经网络的基于搜索引擎查询数据的失业率预测方法

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.21

W. Xu, T. Zheng, Ziang Li

{"title":"A Neural Network Based Forecasting Method For the Unemployment Rate Prediction Using the Search Engine Query Data","authors":"W. Xu, T. Zheng, Ziang Li","doi":"10.1109/ICEBE.2011.21","DOIUrl":"https://doi.org/10.1109/ICEBE.2011.21","url":null,"abstract":"Unemployment rate prediction has become critically important, because it can help government to make decision and design policies. In recent years, forecast of unemployment rate attracts much attention from governments, organizations, and research institutes, and researchers. Recently, a novel method using search engine query data to forecast unemployment was proposed by scholars. In this paper, a data mining based framework using web information is introduced for unemployment rate prediction. Under the framework, a neural network method, as one of the most effective data mining tools, is developed to forecast unemployment trend using search engine query data. In the proposed method, search engine query data related with employment activities is firstly found. Secondly, feature selection models including correlation coefficient method and genetic algorithm are constructed to reduce the dimension of the query data. Thirdly, various neural networks are employed to model the relationship between unemployment rate data and query data. Fourthly, an optimal neural network is selected as the selective predictor by using the cross-validation method. Finally, the selective neural network predictor with the best feature subset is used to forecast unemployment trend. The empirical results show that the proposed method clearly outperforms the classical forecasting approaches for the unemployment rate prediction. These findings imply that data mining method, such as neural networks, together with web information, can be used as an alternative tool to forecast social/economic hotspot.","PeriodicalId":231641,"journal":{"name":"2011 IEEE 8th International Conference on e-Business Engineering","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126423743","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: 16

A Privacy Reinforcement Approach against De-identified Dataset 一种针对去标识数据集的隐私强化方法

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.25

Chi-Wei Lan, Yi-Hui Chen, Tyrone Grandison, Angus F. M. Huang, Jen-Yao Chung, Li-Feng Tseng

引用次数: 2

REA-XML: An Unambiguous Language for REA Business Models REA- xml:用于REA业务模型的明确语言

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.60

D. Mayrhofer, C. Huemer, B. Hofreiter, C. Sonnenberg

引用次数: 3

Web Service Selection in Trustworthy Collaboration Network 可信协作网络中的Web服务选择

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.71

Shangguang Wang, Xilu Zhu, Hongke Zhang

引用次数: 10

A Multi-agent Infrastructure for Healthcare Process Improvement Using Ontology 使用本体改进医疗保健流程的多代理基础结构

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.20

Derek F. M. Sun, Dickson K. W. Chiu, Nan Jiang, Haiyang Hu, Yi Zhuang, Hua Hu

引用次数: 5

An Evidence Based Analytical Approach for Process Automation: Case Study in Finance and Administration Process Delivery Services 过程自动化的基于证据的分析方法:财务和管理过程交付服务的案例研究

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.31

Sai Zeng, Jim Laredo, S. Mehta, Himanshu Chauhan, Ashish Verma, Douglas Williams, Beth Browne

{"title":"An Evidence Based Analytical Approach for Process Automation: Case Study in Finance and Administration Process Delivery Services","authors":"Sai Zeng, Jim Laredo, S. Mehta, Himanshu Chauhan, Ashish Verma, Douglas Williams, Beth Browne","doi":"10.1109/ICEBE.2011.31","DOIUrl":"https://doi.org/10.1109/ICEBE.2011.31","url":null,"abstract":"Process Automation is a critical activity to reduce the need for human work in the production of goods and services to make the processes for uniform and efficient. It is always challenging to make informed decisions on areas for automation which addresses time-to-value to the business. In this paper, we present an evidence based analytics approach to identify top opportunities for process automation, and provide objective assessment of benefit to enable process leaders to take informed decisions. This approach is composed of three major steps. The first step is to identify the top hitters of human intensity in the delivery processes through analyzing evidence gathered from activity time-motion monitoring and onsite process deep dive. The second step is to prioritize the opportunities for automation by analyzing technology choices and estimated business impact. The final step is to assess the benefit through deep analysis on the additional evidence gathered on time-motion data on operational procedures through sampling and extrapolation, and degree of automation can be achieved through technology components. A case study in Finance and Administration Process Delivery Services is used to illustrate the core idea of our analytical approach.","PeriodicalId":231641,"journal":{"name":"2011 IEEE 8th International Conference on e-Business Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130661404","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

QoS Aggregation in Service Orchestrations Based on the Choquet Integral 基于Choquet积分的服务编排QoS聚合

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.58

Nabil Fakhfakh, H. Verjus, Frédéric Pourraz

引用次数: 2

A Consumer Trust-Based Approach in Web Services Selection Web服务选择中基于消费者信任的方法

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.15

Ping Wang, K. Chao, Chi-Chun Lo, Wen-Hui Lin, T. C. Wang

引用次数: 4

Exploring the Relationships between Annual Earnings and Subjective Expressions in US Financial Statements 探讨美国财务报表中年度收益与主观表达的关系

2011 IEEE 8th International Conference on e-Business Engineering Pub Date : 2011-10-19 DOI: 10.1109/ICEBE.2011.47

Chien-Liang Chen, Chao-Lin Liu, Yuan-Chen Chang, Hsiang-Ping Tsai

{"title":"Exploring the Relationships between Annual Earnings and Subjective Expressions in US Financial Statements","authors":"Chien-Liang Chen, Chao-Lin Liu, Yuan-Chen Chang, Hsiang-Ping Tsai","doi":"10.1109/ICEBE.2011.47","DOIUrl":"https://doi.org/10.1109/ICEBE.2011.47","url":null,"abstract":"Subjective assertions in financial statements influence the judgments of market participants when they assess the value and profitability of the reporting corporations. Hence, the managements of corporations may attempt to conceal the negative and to accentuate the positive with \"prudent\" wording. To excavate this accounting phenomenon hidden behind financial statements, we designed an artificial intelligence based strategy to investigate the linkage between financial status measured by annual earnings and subjective multi-word expressions (MWEs). We applied the conditional random field (CRF) models to identify opinion patterns in the form of MWEs, and our approach outperformed previous work employing unigram models. Moreover, our novel algorithms take the lead to discover the evidences that support the common belief that there are inconsistencies between the implications of the written statements and the reality indicated by the figures in the financial statements. Unexpected negative earnings are often accompanied by ambiguous and mild statements and sometimes by promises of glorious future.","PeriodicalId":231641,"journal":{"name":"2011 IEEE 8th International Conference on e-Business Engineering","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131147541","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