Pub Date : 2018-09-03DOI: 10.1007/978-3-319-99133-7_21
Nedim Lipka, Tak Yeon Lee, Eunyee Koh
{"title":"Detecting Link and Landing Page Misalignment in Marketing Emails","authors":"Nedim Lipka, Tak Yeon Lee, Eunyee Koh","doi":"10.1007/978-3-319-99133-7_21","DOIUrl":"https://doi.org/10.1007/978-3-319-99133-7_21","url":null,"abstract":"","PeriodicalId":107291,"journal":{"name":"DEXA Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114285008","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}
Pub Date : 2018-09-03DOI: 10.1007/978-3-319-99133-7_16
H. Aouabed, Rodrigo Santamaría, M. Elloumi
{"title":"Suitable Overlapping Set Visualization Techniques and Their Application to Visualize Biclustering Results on Gene Expression Data","authors":"H. Aouabed, Rodrigo Santamaría, M. Elloumi","doi":"10.1007/978-3-319-99133-7_16","DOIUrl":"https://doi.org/10.1007/978-3-319-99133-7_16","url":null,"abstract":"","PeriodicalId":107291,"journal":{"name":"DEXA Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129558980","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}
Pub Date : 2018-09-03DOI: 10.1007/978-3-319-99133-7_20
Frieda Josi, Christian Wartena, Jean Charbonnier
{"title":"Text-Based Annotation of Scientific Images Using Wikimedia Categories","authors":"Frieda Josi, Christian Wartena, Jean Charbonnier","doi":"10.1007/978-3-319-99133-7_20","DOIUrl":"https://doi.org/10.1007/978-3-319-99133-7_20","url":null,"abstract":"","PeriodicalId":107291,"journal":{"name":"DEXA Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133332079","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}
Francisco Silva, B. Teixeira, N. Teixeira, Tiago Pinto, Isabel Praça, Zita A. Vale
This paper presents a proposal for the use of the Hybrid Fuzzy Inference System algorithm (HyFIS) as solar intensity forecast mechanism. Fuzzy Inference Systems (FIS) are used to solve regression problems in various contexts. The HyFIS is a method based on FIS with the particular advantage of combining fuzzy concepts with Artificial Neural Networks (ANN), thus optimizing the learning process. This algorithm is part of several other FIS algorithms implemented in the Fuzzy Rule-Based Systems (FRBS) package of R. The ANN algorithms and Support Vector Machine (SVM), both widely used for solving regression problems, are also used in this study to allow the comparison of results. Results show that HyFIS presents higher performance when compared to the ANN and SVM, when applied to real data of Florianopolis, Brazil, which helps to reinforce the potential of this algorithm in solving the solar intensity forecasting problems.
{"title":"Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity","authors":"Francisco Silva, B. Teixeira, N. Teixeira, Tiago Pinto, Isabel Praça, Zita A. Vale","doi":"10.1109/DEXA.2016.044","DOIUrl":"https://doi.org/10.1109/DEXA.2016.044","url":null,"abstract":"This paper presents a proposal for the use of the Hybrid Fuzzy Inference System algorithm (HyFIS) as solar intensity forecast mechanism. Fuzzy Inference Systems (FIS) are used to solve regression problems in various contexts. The HyFIS is a method based on FIS with the particular advantage of combining fuzzy concepts with Artificial Neural Networks (ANN), thus optimizing the learning process. This algorithm is part of several other FIS algorithms implemented in the Fuzzy Rule-Based Systems (FRBS) package of R. The ANN algorithms and Support Vector Machine (SVM), both widely used for solving regression problems, are also used in this study to allow the comparison of results. Results show that HyFIS presents higher performance when compared to the ANN and SVM, when applied to real data of Florianopolis, Brazil, which helps to reinforce the potential of this algorithm in solving the solar intensity forecasting problems.","PeriodicalId":107291,"journal":{"name":"DEXA Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116713198","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}
Scientific computing relies heavily on e-Infrastructures as one of the cornerstones of today'sadvancements in research. These e-Infrastructures include advanced IT architectures such as supercomputers, grids, clouds, and the networks interconnecting them. In order to deliver high-quality services provided by these systems to the users, adequate IT management is an essential requirement. The Leibniz Supercomputing Centre (LRZ) is one of the world's largest e-Infrastructure providers and strongly devoted to contributing to and utilizing the field of IT Service Management (ITSM). After initiating its ITSM program in 2006, today many of the services provided by the LRZ are ITSM-driven. Processes have been adopted in alignment with ITIL best practices. Learning from "commercial" ITSM, and applying it to academic e-Infrastructures such as grids and clouds has been recognized as an effort that is vital for the sustained success of these developments. This challenge is subject of the EC-fundedg SLM project, which is led by LRZ and will be demonstrated in this talk. A major goal of LRZ is complete certification against ISO/IEC 20000-1 in the near future. This follows the believe that IT Service Management is a basic ingredient for delivering the best services to its customers.
{"title":"Management of Large-Scale e-Infrastructures at LRZ","authors":"D. Kranzlmüller","doi":"10.1109/DEXA.2011.49","DOIUrl":"https://doi.org/10.1109/DEXA.2011.49","url":null,"abstract":"Scientific computing relies heavily on e-Infrastructures as one of the cornerstones of today'sadvancements in research. These e-Infrastructures include advanced IT architectures such as supercomputers, grids, clouds, and the networks interconnecting them. In order to deliver high-quality services provided by these systems to the users, adequate IT management is an essential requirement. The Leibniz Supercomputing Centre (LRZ) is one of the world's largest e-Infrastructure providers and strongly devoted to contributing to and utilizing the field of IT Service Management (ITSM). After initiating its ITSM program in 2006, today many of the services provided by the LRZ are ITSM-driven. Processes have been adopted in alignment with ITIL best practices. Learning from \"commercial\" ITSM, and applying it to academic e-Infrastructures such as grids and clouds has been recognized as an effort that is vital for the sustained success of these developments. This challenge is subject of the EC-fundedg SLM project, which is led by LRZ and will be demonstrated in this talk. A major goal of LRZ is complete certification against ISO/IEC 20000-1 in the near future. This follows the believe that IT Service Management is a basic ingredient for delivering the best services to its customers.","PeriodicalId":107291,"journal":{"name":"DEXA Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122315922","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}
E. Falcinelli, C. Gori, J. Jassó, A. Milani, S. Pallottelli
In the radically changing framework of education and training, the E-studium project (http://e-studium.unipg.it) developed at the University of Perugia, proposes a dynamic and versatile education system, managing effectively the learning process and using new ICT technologies to respond individually to the needs of a wide audience of students disseminated in the country. The organization model is an integrated e-learning system, known as blended e-learning (realized through the course management system Moodle), aiming at a renewal of academic education with a focus on quality of teaching, on support of in-class teaching by on-line services and materials, allowing better use and participation by both full-time and part-time students. Beside students, also academic teachers work as experimental subjects for the technologies implemented. In this work the "E-studium" project is presented showing the different phases of development, implementation and analysis of results including usage.
{"title":"E-studium: an Italian experience of blended e-learning E-studium: an Italian experience of blended e-learning","authors":"E. Falcinelli, C. Gori, J. Jassó, A. Milani, S. Pallottelli","doi":"10.1109/DEXA.2007.11","DOIUrl":"https://doi.org/10.1109/DEXA.2007.11","url":null,"abstract":"In the radically changing framework of education and training, the E-studium project (http://e-studium.unipg.it) developed at the University of Perugia, proposes a dynamic and versatile education system, managing effectively the learning process and using new ICT technologies to respond individually to the needs of a wide audience of students disseminated in the country. The organization model is an integrated e-learning system, known as blended e-learning (realized through the course management system Moodle), aiming at a renewal of academic education with a focus on quality of teaching, on support of in-class teaching by on-line services and materials, allowing better use and participation by both full-time and part-time students. Beside students, also academic teachers work as experimental subjects for the technologies implemented. In this work the \"E-studium\" project is presented showing the different phases of development, implementation and analysis of results including usage.","PeriodicalId":107291,"journal":{"name":"DEXA Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124181258","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}
Data integration approaches mostly attempt to resolve semantic uncertainty and conflicts between data sources during the data integration process. In some application areas, this is impractical or even prohibitive. We propose a probabilistic XML approach that allows storage and querying of uncertain data. It requires only minimal user involvement during data integration, because most semantic uncertainty and conflicts can be resolved by exploiting user feedback on query results, thus effectively postponing user involvement to query time when a user already interacts with the system. We show that repeated feedback gradually improves the factual correctness of integrated data.
{"title":"User Feedback in Probabilistic Integration","authors":"A. D. Keijzer, M. V. Keulen","doi":"10.1109/DEXA.2007.97","DOIUrl":"https://doi.org/10.1109/DEXA.2007.97","url":null,"abstract":"Data integration approaches mostly attempt to resolve semantic uncertainty and conflicts between data sources during the data integration process. In some application areas, this is impractical or even prohibitive. We propose a probabilistic XML approach that allows storage and querying of uncertain data. It requires only minimal user involvement during data integration, because most semantic uncertainty and conflicts can be resolved by exploiting user feedback on query results, thus effectively postponing user involvement to query time when a user already interacts with the system. We show that repeated feedback gradually improves the factual correctness of integrated data.","PeriodicalId":107291,"journal":{"name":"DEXA Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130699220","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}
Mobile computing and pervasive computing represent major evolutionary steps in a line of research dating back to the mid-1970s. Ubiquitous computing is another type of computing, next to mainframes and PCs. Although interchangeably used, these technologies have inherent differences in them. This paper attempts to bring out such differences so as to enable better understanding and thereby facing various issues and challenges of the same.
{"title":"Advances in Computing Technologies: An Insight","authors":"Y. M. Begum, M. Mohamed","doi":"10.1109/DEXA.2007.140","DOIUrl":"https://doi.org/10.1109/DEXA.2007.140","url":null,"abstract":"Mobile computing and pervasive computing represent major evolutionary steps in a line of research dating back to the mid-1970s. Ubiquitous computing is another type of computing, next to mainframes and PCs. Although interchangeably used, these technologies have inherent differences in them. This paper attempts to bring out such differences so as to enable better understanding and thereby facing various issues and challenges of the same.","PeriodicalId":107291,"journal":{"name":"DEXA Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116973810","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}
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