2020 6th International Conference on Information Management (ICIM)最新文献_第6页

An Analysis of the Applicability of China’s Special Treatment System and Suggestions for Improvement 中国特殊待遇制度的适用性分析及改进建议

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244672

Wei Li

{"title":"An Analysis of the Applicability of China’s Special Treatment System and Suggestions for Improvement","authors":"Wei Li","doi":"10.1109/ICIM49319.2020.244672","DOIUrl":"https://doi.org/10.1109/ICIM49319.2020.244672","url":null,"abstract":"In order to adapt to the securities market environment in China, the special treatment system (hereinafter referred to as ST system) was formally implemented in 1998 as a delisting system with Chinese characteristics. However, with the continuous development of earnings management, it has a great impact on the actual implementation of the special treatment system.In fact, many listed companies use earnings management to avoid delisting. Base on the relevant financial data from 2013 to 2017 of 22 special treatment listed companies that successfully lifted the delisting warning in 2016, this paper uses the modified Jones model to analyze whether there is earnings management behavior of *ST listed companies under the current ST system. This paper finds that most of the ST listed companies or *ST listed companies in the sample have earnings management behavior. In view of the current situation, this paper uses the principal component analysis method to select the representative indicators of the four financial indicators and constructs a multi indicator evaluation model, which provides exploration and suggestions for the improvement of the special treatment system.","PeriodicalId":129517,"journal":{"name":"2020 6th International Conference on Information Management (ICIM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125670258","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

Urban Rainfall Forecasting Method Based on Multi-model Prediction Information Fusion 基于多模型预测信息融合的城市降雨预报方法

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244700

Liu Huang, Xuejun Liu, Heyi Wei

引用次数: 2

An Enhanced Approach for Privacy Preserving Record Linkage during Data Integration 一种增强的数据集成过程中保护隐私的记录链接方法

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244689

N. Shekokar, V. Shelake

{"title":"An Enhanced Approach for Privacy Preserving Record Linkage during Data Integration","authors":"N. Shekokar, V. Shelake","doi":"10.1109/ICIM49319.2020.244689","DOIUrl":"https://doi.org/10.1109/ICIM49319.2020.244689","url":null,"abstract":"Today collecting and integrating data from multiple datasets has become a vital part to perform various analysis tasks. Record linkage plays an important component during data integration to detect and link similar data instances. However, personal and sensitive data need to be protected in a manner so that there is no re-identification of original attribute values by the party performing record linkage. Now-a-days, the Bloom filter encoding has utilized across many countries for privacy preserving record linkage. Moreover, the hardened approaches of Bloom filter encoding enhance privacy at the cost of reduced linkage accuracy. Still the security concerns remain with the Bloom filter encoding techniques because attackers can re-identify the obfuscated data with the use of available public resources. We propose an enhanced approach for privacy preserving record linkage (EPPRL) during data integration to achieve better privacy with acceptable linkage accuracy. The results show that the proposed approach EPPRL outperforms in comparison with Balanced Bloom filter encoding technique in terms of precision, recall, f-measure and re-identification of attribute values.","PeriodicalId":129517,"journal":{"name":"2020 6th International Conference on Information Management (ICIM)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116530429","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

Finding Dominant Factor That Affects Crude Birth Rates in Japanese Prefectures 发现影响日本各县粗出生率的主要因素

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244673

Y. Shirota, K. Yamaguchi

引用次数: 0

Automated Business Process Modelling for Analyzing Sustainable System Requirements Engineering 用于分析可持续系统需求工程的自动化业务流程建模

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244690

Youseef Alotaibi

{"title":"Automated Business Process Modelling for Analyzing Sustainable System Requirements Engineering","authors":"Youseef Alotaibi","doi":"10.1109/ICIM49319.2020.244690","DOIUrl":"https://doi.org/10.1109/ICIM49319.2020.244690","url":null,"abstract":"This paper presents the new automatic modelling methodology to derive the system requirements from the business goal model. This methodology involves two main levels: (1) level 1 presents the business requirements for the business environment to describe the business strategy and infrastructure specifications; and (2), level 2 presents the IT requirements and how its automatically being model and analyze from Business Processes (BPs). Level 1 includes three main elements: business goals, business rules and BP. Level 2 includes four main stages: (1) translating the business goals into UML sequence diagrams in order to explore the detailed information about the BP; (2) illustrating the UML sequences diagrams data into the loosely coupled format named Extensible Mark-up Language (XML) Metadata interchange (XMI) in order to examine and map the information; (3) generating the XMI format of the UML state chart diagram by analyzing the business goals in order to clarify and resolve conflicts between goals; and (4) converting the UML state chart diagram from the XMI format in order to clarify of the system requirements for system developers. The proposed methodology can help the system developers to understand the Business Process (BP) goals and implement the system according to the organizational requirements. It can positively influence the alignment between business and IT.","PeriodicalId":129517,"journal":{"name":"2020 6th International Conference on Information Management (ICIM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122131435","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: 14

The Impact of Structural Change on Green Economy Performance : –Evidence From China 结构变化对绿色经济绩效的影响:来自中国的证据

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244669

Yuting Sun, Hanhui Hu, Ying Wang

引用次数: 1

Research on Library Data Management Reform : Discussion on McKinsey 7S System Thinking Model 图书馆数据管理改革研究:基于麦肯锡7S系统思维模式的探讨

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244714

Hongqiu Liu

引用次数: 1

Enhancing High Frequency Technical Indicators Forecasting Using Shrinking Deep Neural Networks 利用收缩深度神经网络增强高频技术指标预测

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244707

Xiaoyu Tan, Shenghong Li, Cheng-xiang Wang, Shuyi Wang

{"title":"Enhancing High Frequency Technical Indicators Forecasting Using Shrinking Deep Neural Networks","authors":"Xiaoyu Tan, Shenghong Li, Cheng-xiang Wang, Shuyi Wang","doi":"10.1109/ICIM49319.2020.244707","DOIUrl":"https://doi.org/10.1109/ICIM49319.2020.244707","url":null,"abstract":"Recent years have witnessed the successful combination of finance innovations and AI techniques in various finance applications including quantitative trading. Despite great research efforts devoted to leveraging deep learning methods for building better quantitative strategies, existing studies still face serious challenges, such as how to establish effective high frequency predictor variables, how to solve in-sample overfitting in a high-dimensional setting and how to balance the risk and return. In this paper, we propose a hybrid deep learning based high frequency technical indicators investment strategy approach enhanced by elastic net model, which called SDNN, to address the above challenges. Our main contributions are summarized as follows: i) We establish several high frequency technical indicators and investigate the statistically and trading significant in-sample and out-of-sample predictive power for each indicators. ii) we suggest a elastic net model to shrinking the dimensional of predictive factors in order to improve the out-of-sample performance in high-dimensional setting. iii) we integrate deep learning method with a Sharpe-optimised framework to achieve a risk-return balanced investment strategy. The experiments on Chinese stock market demonstrate the Sharpe-optimised SDNN, improved traditional linear method by more than 75% percent annualized return and outperformed other machine learning methods as well.","PeriodicalId":129517,"journal":{"name":"2020 6th International Conference on Information Management (ICIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130042100","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: 3

Towards a Research Model of Post-adoption of Open Government Data in Malaysia’s Public Sector 马来西亚公共部门采用开放政府数据后的研究模式

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244679

Mimi Nurakmal Mustapa, F. Nasaruddin, S. Hamid

{"title":"Towards a Research Model of Post-adoption of Open Government Data in Malaysia’s Public Sector","authors":"Mimi Nurakmal Mustapa, F. Nasaruddin, S. Hamid","doi":"10.1109/ICIM49319.2020.244679","DOIUrl":"https://doi.org/10.1109/ICIM49319.2020.244679","url":null,"abstract":"Open Government Data (OGD) is regarded as an organization-level innovation that works ideally in a data openness ecosystem where a government publishes data for free use and re-use by anyone without any restrictions. These days, the extant study on OGD adoption largely focused on finding the factors that influence the OGD adopter in the adoption phase. Although these studies help to clarify the adopter’s decision, the stance of the adopter after accepting the OGD is very much important. Knowing the limited availability of the literature about OGD in the post-adoption phase, this study seeks to propose a research model for OGD implementation in the post-adoption phase in Malaysia’s public sector. The research model is drawn from the Technology-Organization-Environment framework and innovation adoption process as the theoretical foundation, while the OGD principles are integrated as an added construct to the research model. With this research model, researchers would be able to explain the OGD adoption continuity in the post-adoption phase from the perspective of the data provider.","PeriodicalId":129517,"journal":{"name":"2020 6th International Conference on Information Management (ICIM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133422886","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

Guarding the Intelligent Enterprise: Securing Artificial Intelligence in Making Business Decisions 守护智能企业:确保人工智能在商业决策中的应用

2020 6th International Conference on Information Management (ICIM) Pub Date : 2020-03-01 DOI: 10.1109/ICIM49319.2020.244704

P. Bhattacharya

引用次数: 2