2010 International Conference on Intelligent Networking and Collaborative Systems最新文献

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TOASTIE: Transaction-Oriented Architecture for Structuring the Totally Integrated Enterprise 面向事务的架构,用于构建完全集成的企业
S. Polovina, I. Stalker
{"title":"TOASTIE: Transaction-Oriented Architecture for Structuring the Totally Integrated Enterprise","authors":"S. Polovina, I. Stalker","doi":"10.1109/INCOS.2010.93","DOIUrl":"https://doi.org/10.1109/INCOS.2010.93","url":null,"abstract":"We set out a rationale for TOASTIE-Transaction-Oriented Architecture for Structuring the Totally Integrated Enterprise-as the medium by which enterprise systems can capture the knowledge that enterprises ultimately rely upon.","PeriodicalId":289890,"journal":{"name":"2010 International Conference on Intelligent Networking and Collaborative Systems","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116752779","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
Determining Relations Between Core Dimenisons of Collaboration Quality: A Multidimensional Scaling Approach 协作质量核心维度关系的确定:一种多维标度方法
Georgios Kahrimanis, Irene-Angelica Chounta, N. Avouris
{"title":"Determining Relations Between Core Dimenisons of Collaboration Quality: A Multidimensional Scaling Approach","authors":"Georgios Kahrimanis, Irene-Angelica Chounta, N. Avouris","doi":"10.1109/INCOS.2010.77","DOIUrl":"https://doi.org/10.1109/INCOS.2010.77","url":null,"abstract":"Computer Supported Collaborative Learning (CSCL) constitutes one of the most extensively developed paradigms of research and practice in intelligent networking and collaborative systems technology. Interdisciplinarity in the research field involves the application of several methodological approaches towards analysis of CSCL that range from deep-level qualitative analyses of small interaction-rich episodes of collaboration, to quantitative measures of suitably categorized events of interaction that are used as indicators of the success of collaboration in some of its facets [1]. This article adopts an alternative approach to CSCL analysis that aims at taking advantage of some desired properties of each of these diverse methodological trends, involving the use of a rating scheme for the assessment of collaboration quality [2,3]. After defining a set of dimensions that cover the most important aspects of collaboration, it employs appropriately trained human agents to assign ratings of collaboration quality to each dimension, basing their assessments on substantial aspects of collaboration that are not easily formal sable. The activities studied here regard 228 collaborating dyads, working synchronously on a computer science problem-solving task with the use of the Synergo tool [4]. Based on this large dataset, relations between dimensions of collaboration quality are unraveled on empirical grounds, based on the ratings of collaboration quality that were elaborated statistically using a multidimensional scaling technique [5,6,7,8,9,10,11]. Results obtained are in accordance with the initial design of the rating scheme used, and further particularize the relations between the dimensions it defines.","PeriodicalId":289890,"journal":{"name":"2010 International Conference on Intelligent Networking and Collaborative Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121698167","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
Concept Discovery Innovations in Law Enforcement: A Perspective 执法中的概念发现创新:一个视角
Jonas Poelmans, P. Elzinga, Stijn Viaene, G. Dedene
{"title":"Concept Discovery Innovations in Law Enforcement: A Perspective","authors":"Jonas Poelmans, P. Elzinga, Stijn Viaene, G. Dedene","doi":"10.1109/INCOS.2010.18","DOIUrl":"https://doi.org/10.1109/INCOS.2010.18","url":null,"abstract":"In the past decades, the amount of information available to law enforcement agencies has increased significantly. Most of this information is in textual form, however analyses have mainly focused on the structured data. In this paper, we give an overview of the concept discovery projects at the Amsterdam-Amstell and police where Formal Concept Analysis (FCA) is being used as text mining instrument. FCA is combined with statistical techniques such as Hidden Markov Models (HMM) and Emergent Self Organizing Maps (ESOM). The combination of this concept discovery and refinement technique with statistical techniques for analyzing high-dimensional data not only resulted in new insights but often in actual improvements of the investigation procedures.","PeriodicalId":289890,"journal":{"name":"2010 International Conference on Intelligent Networking and Collaborative Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126586815","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: 7
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