2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)最新文献_第2页

Framework of Knowledge-Based System for United Nations Peacekeeping Operations Using Data Mining Technique 基于数据挖掘技术的联合国维持和平行动知识系统框架

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-26 DOI: 10.1109/INFRKM.2018.8464802

S. Marzukhi, Nur Hidayah Mohammad Daud, Zuraini Zainol, O. Zakaria

引用次数: 3

Expert Review on Big Data Analytics Implementation Model in Data-driven Decision-Making 大数据分析在数据驱动决策中的实施模式

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-26 DOI: 10.1109/INFRKM.2018.8464770

Cecilia Adrian, R. Abdullah, R. Atan, Y. Y. Jusoh

{"title":"Expert Review on Big Data Analytics Implementation Model in Data-driven Decision-Making","authors":"Cecilia Adrian, R. Abdullah, R. Atan, Y. Y. Jusoh","doi":"10.1109/INFRKM.2018.8464770","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464770","url":null,"abstract":"Data-driven decision-making can offer improved insights for information value and create new business opportunity. The purpose of this paper is to present the findings of expert opinion in verifying the influencing factors in big data analytics (BDA) implementation that are beneficial in developing the BDA implementation assessment model. The study was carried out by conducting face-to-face approach sessions with three academicians and four industry experts who have vast experience in big data research and its implementation. The findings from these exercises has confirmed and verified the content of the ten factors that include organization dimension (such as big data strategy, top management support, resource commitment, organizational relationship), people dimension (such as analytics skills, managerial skills and analytics culture) and technology dimension (includes data infrastructures, information processing and quality) were appropriate for the research model. It was described using descriptive analysis such as frequency, mean and standard deviation. Once the verification process is complete, the research model will be validated through survey in the future work.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129252565","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

Aspect Extraction Performance with POS Tag Pattern of Dependency Relation in Aspect-based Sentiment Analysis 基于方面的情感分析中基于依赖关系的POS标签模式的方面提取性能

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-26 DOI: 10.1109/INFRKM.2018.8464692

Ana Salwa Shafie, N. Sharef, M. A. Azmi Murad, A. Azman

{"title":"Aspect Extraction Performance with POS Tag Pattern of Dependency Relation in Aspect-based Sentiment Analysis","authors":"Ana Salwa Shafie, N. Sharef, M. A. Azmi Murad, A. Azman","doi":"10.1109/INFRKM.2018.8464692","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464692","url":null,"abstract":"The most important task in aspect-based sentiment analysis (ABSA) is the aspect and sentiment word extraction. It is a challenge to identify and extract each aspect and it specific associated sentiment word correctly in the review sentence that consists of multiple aspects with various polarities expressed for multiple sentiments. By exploiting the dependency relation between words in a review, the multiple aspects and its corresponding sentiment can be identified. However, not all types of dependency relation patterns are able to extract candidate aspect and sentiment word pairs. In this paper, a preliminary study was performed on the performance of different type of dependency relation with different POS tag patterns in pre-extracting candidate aspect from customer review. The result contributes to the identification of the specific type dependency relation with it POS tag pattern that lead to high aspect extraction performance. The combination of these dependency relations offers a solution for single aspect single sentiment and multi aspect multi sentiment cases.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121950997","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: 21

Information Dissemination Model for Scholars on Cryptocurrencies 加密货币学者的信息传播模型

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-26 DOI: 10.1109/INFRKM.2018.8464764

A. S. Husain, R. Othman

引用次数: 2

A Review on Complex Event Processing Systems for Big Data 面向大数据的复杂事件处理系统综述

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-26 DOI: 10.1109/INFRKM.2018.8464787

K. Tawsif, J. Hossen, J. E. Raja, M. Z. H. Jesmeen, E. Arif

{"title":"A Review on Complex Event Processing Systems for Big Data","authors":"K. Tawsif, J. Hossen, J. E. Raja, M. Z. H. Jesmeen, E. Arif","doi":"10.1109/INFRKM.2018.8464787","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464787","url":null,"abstract":"Over the years, huge volumes of data are continuously generated due to the increasing number of applications, efficient methods are therefore required to determine the event patterns of interest and manage highly dynamic events in real-time. There has been increasing demand for active systems within Internet of Things, which can automatically react to events that come from various sources. Complex Event Processing (CEP) is an impressive technology that can deal with large amount of data from various sources depending on the consistency of data to generate exact result to process dynamic data in real-time. Thus, understanding existing CEP methods and tools is essential to develop a robust and effective CEP system. In this paper, we had briefly described about event processing, CEP with different engines and CEP for uncertainty. This paper reviewed CEP tools available in the market from 2010 to 2017. It has been found that there are many commercialized and open-source CEP tools in current market, where commercialized tools are used for business intelligence purpose and open-source tools are mostly used for academic purposes. Most of the available processing tools are Query-based and very few are working with Machine learning. There is a huge potential for further research in the use of Machine Learning in Complex Event Processing.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134048312","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: 12

Utilizing AlexNet Deep Transfer Learning for Ear Recognition 利用AlexNet深度迁移学习进行耳朵识别

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-26 DOI: 10.1109/INFRKM.2018.8464769

A. Almisreb, N. Jamil, N. Md Din

引用次数: 76

An Automatic Image Tagging Based on Word Co-Occurrence Analysis 基于词共现分析的图像自动标注

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-26 DOI: 10.1109/INFRKM.2018.8464796

Ali Abdulraheem, Lailatul Qadri Zakaria

引用次数: 0

Role of Knowledge Towards the Outcome of Information Systems Development Projects 知识对信息系统开发项目成果的作用

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-26 DOI: 10.1109/INFRKM.2018.8464699

E. Mtsweni, N. Mavetera

{"title":"Role of Knowledge Towards the Outcome of Information Systems Development Projects","authors":"E. Mtsweni, N. Mavetera","doi":"10.1109/INFRKM.2018.8464699","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464699","url":null,"abstract":"Information Systems Development Projects (ISDPs) have a reputation higher failure rate for both practice and research which attracted lot of attention from different researchers from different disciplines. They are conducted by human beings who formulate ISDP team and makes them to be human oriented in nature. ISDP are knowledge intensive in nature and the knowledge that is required by members of ISDP team includes both tacit and explicit knowledge. The human beings which are part of ISDP team contribute and apply that knowledge within the ISDP. Knowledge have impact towards different issues such as ISDP team performance and ISDP team innovation, and those issues have influence on the outcome of ISDPs. It is essential for all the stakeholders of ISDP to understand the role of knowledge towards the outcome of ISDPs. In this study, the researchers review existing literature that focus on the role of knowledge towards the outcome of ISDPs. The results indicated that knowledge improves the performance of the entire ISDP team, innovation of ISDP team and contributes significantly towards delivery of a successful ISDP.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"24 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116589117","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

Understanding Human Sentence Compression Pattern for Malay Text Summarizer 马来语文本摘要器的人类句子压缩模式研究

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464788

Suraya Alias, Siti Khaotijah Mohammad, Gan Keng Hoon, M. Sainin

引用次数: 3

Mapping and Analyzing Process of Cloud-based Education as a Service (CEaaS) Model for Cloud Computing Adoption in Higher Education Institutions 基于云的教育即服务(CEaaS)模式在高校云计算应用中的映射与分析过程

2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP) Pub Date : 2018-03-01 DOI: 10.1109/INFRKM.2018.8464763

Yousef A. M. Qasem, R. Abdullah, R. Atan, Y. Y. Jusoh

{"title":"Mapping and Analyzing Process of Cloud-based Education as a Service (CEaaS) Model for Cloud Computing Adoption in Higher Education Institutions","authors":"Yousef A. M. Qasem, R. Abdullah, R. Atan, Y. Y. Jusoh","doi":"10.1109/INFRKM.2018.8464763","DOIUrl":"https://doi.org/10.1109/INFRKM.2018.8464763","url":null,"abstract":"A newly evolved computing paradigm used to deliver everything-as-a-service (XaaS) for various business organizations is known as Cloud Computing (CC). It is used most especially by educational organizations for educational purposes anywhere and anytime via scalability and an approach that saves cost (pay-per-use). There are a number of problems faced by Higher Education Institutions (HEIs) such as the growing need of infrastructure and IT, providing good and affordable educational services, increasing of participants, increasing education quality provision. Cloud Computing (CC) provides an excellent substitute for HEIs by supporting a reduction in cost, improvement in quality, through this means sustainability in education is obtained by providing good educational services. Recent research patterns on CC are directly focused on the applications, benefits, costs, technology, and security of CC. However, it was noticed that less empirical evidence and research focus is been given to the adoption of CC at an organization level. A model is proposed with a mapping matrix of its constructs based on the four dominant theories in the field of this adopted technology, the theories are: Technology-organization-environment (TOE) theory, The Fit-Viability Model (FVM), Diffusion of Innovation (DOI) Theory, and Institutional (INT) theory. Implications, potential contributions to research, and suggestions for future study are discussed.","PeriodicalId":196731,"journal":{"name":"2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125338907","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: 12