2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)最新文献_第5页

Customer Context Based Transactions in Mobile Commerce Business Environment 移动商务商业环境中基于客户上下文的交易

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.043

P. Pushpa

引用次数: 7

A Generic Commercial Business Model for Customer Oriented Business Transactions 面向客户的商业交易的通用商业商业模型

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.048

P. Pushpa

引用次数: 2

Random Attractor of the Stochastic Lattice Reversible Selkov Equations with Additive Noises 具有加性噪声的随机格可逆Selkov方程的随机吸引子

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.038

Hongyan Li

引用次数: 3

Memory-Based Data Management for Large-Scale Distributed Rendering 基于内存的大规模分布式渲染数据管理

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.029

Ran Zheng, Jinli Jia, Hai Jin, Xinqiao Lv, Shuai Yang

引用次数: 0

A Contextual Data Selection Tool for an Enhanced Business Process Analysis 用于增强业务流程分析的上下文数据选择工具

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.013

Pierre-Aymeric Masse, N. Laga, Jacques Simonin

{"title":"A Contextual Data Selection Tool for an Enhanced Business Process Analysis","authors":"Pierre-Aymeric Masse, N. Laga, Jacques Simonin","doi":"10.1109/ICEBE.2016.013","DOIUrl":"https://doi.org/10.1109/ICEBE.2016.013","url":null,"abstract":"Process mining has an important place in business process (BP) analysis. It aims to analyze process events in order to discover the related BP model. However, these techniques are only based on process events and sometimes on business data, leaving aside a large set of data, namely the BP execution context. Existing studies have shown the benefits of considering the context in the BP analysis but they only suggest manual techniques to bind a BP with its context, which is not scalable and time consuming in real deployment environment. To address this issue, we propose a semi-automatic BP contextualization solution which takes into account the BP execution context in the BP analysis time. It uses semantic techniques to perform a matching of the BP model with contextual data and with business data, and then it obtains the value of these data during the BP execution. In this paper, we present a tool that implements this solution in order to enhance current analysis techniques which facilitates the monitoring and enables deep BP analysis. The proposed tool is validated by its application to a real life process, a \"palettization\" process.","PeriodicalId":305614,"journal":{"name":"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129261779","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

Clustering-Based Algorithms to Semantic Summarizing Graph with Multi-attributes’ Hierarchical Structures 基于聚类的多属性层次结构语义汇总图算法

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.021

Chong Sun, Xiantao Cai, Yiran Hu, Wen Ying Chen, Jun Tie

引用次数: 0

Applying Probabilistic Model Checking to Express Delivery Location Selection and Optimization 概率模型检验在快递配送地点选择与优化中的应用

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.017

Yonghua Zhu, Xiaoyi Xue, Kaiwen Zhang, Shunyi Mao, Honghao Gao

{"title":"Applying Probabilistic Model Checking to Express Delivery Location Selection and Optimization","authors":"Yonghua Zhu, Xiaoyi Xue, Kaiwen Zhang, Shunyi Mao, Honghao Gao","doi":"10.1109/ICEBE.2016.017","DOIUrl":"https://doi.org/10.1109/ICEBE.2016.017","url":null,"abstract":"According to our survey about the express delivery from hundreds of campuses, we find that the location of commodity storage places impacts the delivery success rate and service quality. Thus, how to select the proper delivery location is vital to logistics enterprises, which contributes to improve the work efficiency and reduce delivery costs. In this paper, probabilistic model checking is used to verify the delivery fetch system, which evaluates the solution of location distributions in a quantitative way. First, it formalizes the fetch process of express delivery system between business and customer in the form of Discrete-Time Markov Chain (DTMC) when considering the stochastic behavior. Second, Probabilistic Computation Tree Logic (PCTL) is introduced as the verification property to the temporal behavior checking. Third, formal verifications are conducted by the supporting tool PRISM concerning on the transition probabilities computing. Furthermore, verification results are proven to follow the law of Bernouli Large Numbers, which aims to illustrate that the simulation result is close to the actual express delivery situation. Fourth, the express delivery location model is extended as new structure Co-DTMC in order to calculate time consumption and cost consumption, where the punishment factor is designed for the purpose of optimization. Finally, experiments are carried out to show that our approach can effectively select an optimal place for express delivery, which provides an alternative solution to integrate time and cost into the location selection.","PeriodicalId":305614,"journal":{"name":"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128361310","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: 4

Pinyin-Senses Input Method for Semantic Document Exchange in E-Business 电子商务中语义文档交换的拼音语义输入法

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.060

Guangyi Xiao, J. Guo, Zhiguo Gong, Renfa Li

引用次数: 0

P2P Lending Platforms Bankruptcy Prediction Using Fuzzy SVM with Region Information 基于区域信息的模糊支持向量机预测P2P借贷平台破产

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.028

Menghan Wang, Xiaolin Zheng, Mengying Zhu, Zhongkai Hu

引用次数: 8

Towards a Hybrid Deep-Learning Method for Music Classification and Similarity Measurement 音乐分类与相似度度量的混合深度学习方法研究

2016 IEEE 13th International Conference on e-Business Engineering (ICEBE) Pub Date : 2016-11-01 DOI: 10.1109/ICEBE.2016.014

Hanchao Li, Xiang Fei, K. Chao, Ming Yang, Chaobo He

{"title":"Towards a Hybrid Deep-Learning Method for Music Classification and Similarity Measurement","authors":"Hanchao Li, Xiang Fei, K. Chao, Ming Yang, Chaobo He","doi":"10.1109/ICEBE.2016.014","DOIUrl":"https://doi.org/10.1109/ICEBE.2016.014","url":null,"abstract":"Large repository of music that can be accessed or downloaded over the Internet, provides a new way of trading or sharing. However, the technologies for features based Music Information Retrieval (MIR), which is a multidisciplinary field of research, are not well established. Existing MIR techniques and products suffer from either limited capabilities or poor performance. In this paper, we proposed a data model that describes the music information using both Music Definition Language (MDL) and Music Manipulation Language (MML), and supports extensible hybrid methods for music classification and similarity measurement. With proposed musical data model, we further developed a hybrid method that combines both contour and rhythm features, and employed an Artificial Neural Network (Unsupervised Kohonen Self-Organized Map) based classification mechanism that maps variations of music pieces to their corresponding originals using a new vector/matrix format defined as MDL. The proposed hybrid method based on a deep-learning mechanism and a new similarity measurement method has been introduced to fulfil analysis on the music classification and their similarity scores. The test results demonstrate that an accuracy of around 70% in the experiments has been achieved.","PeriodicalId":305614,"journal":{"name":"2016 IEEE 13th International Conference on e-Business Engineering (ICEBE)","volume":"553 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133847351","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