Product recommendation on electronic commerce Web sites becomes more important with the widespread use of Internet-based shopping. Collaborative filtering and content based filtering methods have been commonly used for this task by electronic commerce Web sites. These methods have several shortcomings, such as cold start problem, biased ratings problem or inaccurate recommendations. In order to produce effective and accurate recommendations, recent approaches utilize the semantic properties of data by integrating the domain ontology into the recommendation process. In these studies, the domain ontology covering only the types and properties of the product to be recommended is considered where the relational nature of the product data is omitted. However, the domain ontology of the features related to the product may also provide useful information during recommendation process. In this study, we focus on integrating the domain ontology of relational data into the recommendation process. We design a framework for an easy implementation of a recommendation system on relational data. Using this framework, we implement as a case study a recommendation model that recommends books to the users. We evaluated the performance of our model on real data obtained from a Turkish Internet book store. Our experimental results show that our proposed method can be effectively used for recommending items in relational data.
{"title":"A Relational Recommender System Based on Domain Ontology","authors":"Hikmet Kapusuzoglu, Ş. Öğüdücü","doi":"10.1109/EIDWT.2011.15","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.15","url":null,"abstract":"Product recommendation on electronic commerce Web sites becomes more important with the widespread use of Internet-based shopping. Collaborative filtering and content based filtering methods have been commonly used for this task by electronic commerce Web sites. These methods have several shortcomings, such as cold start problem, biased ratings problem or inaccurate recommendations. In order to produce effective and accurate recommendations, recent approaches utilize the semantic properties of data by integrating the domain ontology into the recommendation process. In these studies, the domain ontology covering only the types and properties of the product to be recommended is considered where the relational nature of the product data is omitted. However, the domain ontology of the features related to the product may also provide useful information during recommendation process. In this study, we focus on integrating the domain ontology of relational data into the recommendation process. We design a framework for an easy implementation of a recommendation system on relational data. Using this framework, we implement as a case study a recommendation model that recommends books to the users. We evaluated the performance of our model on real data obtained from a Turkish Internet book store. Our experimental results show that our proposed method can be effectively used for recommending items in relational data.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124337731","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}
P2P systems are currently considered as an important and effective alternative to web-based centric approaches of groupware systems. Decentralisation, direct and interactive communication, personalization and context are among the features of P2P systems that could be beneficial to groupware systems. In particular, such features can support monitoring, awareness, social networking and scaffolding in group collaboration. In this work we present an analysis of advantages in using P2P networks to better support group collaborative processes. In our analysis, P2P groupware systems are conceived as a convergence of several views: contextual computing, social media and semantic web. The contextual computing is an important ingredient to capture the context of the collaboration in a multi-dimension way, including workspace context, documents and information context, time and location contexts, etc. The social media is also considered important for an effective collaboration of peer group, to support members with efficient and scalable communication techniques in social interaction among members. The semantic web concepts and use of languages such as RDF/S enable the representation and reasoning with the diverse range of information required by the P2P middleware and the awareness services. We focus in particular how to achieve event-based awareness in P2P groupware systems that includes different forms of awareness. The user and technical requirements are first derived with reference to Project-Based Learning in P2P learning environments, which is the learning setting that we consider in our work. We then present our computational model for supporting group awareness in such environments and discuss how it meets the identified user and technical requirements.
{"title":"Awareness in P2P Groupware Systems: A Convergence of Contextual Computing, Social Media and Semantic Web","authors":"F. Xhafa, A. Poulovassilis","doi":"10.1109/EIDWT.2011.42","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.42","url":null,"abstract":"P2P systems are currently considered as an important and effective alternative to web-based centric approaches of groupware systems. Decentralisation, direct and interactive communication, personalization and context are among the features of P2P systems that could be beneficial to groupware systems. In particular, such features can support monitoring, awareness, social networking and scaffolding in group collaboration. In this work we present an analysis of advantages in using P2P networks to better support group collaborative processes. In our analysis, P2P groupware systems are conceived as a convergence of several views: contextual computing, social media and semantic web. The contextual computing is an important ingredient to capture the context of the collaboration in a multi-dimension way, including workspace context, documents and information context, time and location contexts, etc. The social media is also considered important for an effective collaboration of peer group, to support members with efficient and scalable communication techniques in social interaction among members. The semantic web concepts and use of languages such as RDF/S enable the representation and reasoning with the diverse range of information required by the P2P middleware and the awareness services. We focus in particular how to achieve event-based awareness in P2P groupware systems that includes different forms of awareness. The user and technical requirements are first derived with reference to Project-Based Learning in P2P learning environments, which is the learning setting that we consider in our work. We then present our computational model for supporting group awareness in such environments and discuss how it meets the identified user and technical requirements.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"351 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115973613","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}
Nowadays, the Service-Oriented Distributed Systems are de facto platforms for service providers exposing functionalities to external clients. This type of environments allows distributed deployments of web services with the same functionality to multiple locations (called service replicas) in order to fit the clients' requirements. On consumer's side, accessing these services, in a context that gathers quality and business constraints, is most of the time difficult regarding identification of the most suitable service replica. The current work focuses on defining a model and a recommender system logical architecture that help the clients to find the most effective service replica for their needs. Also, the solution serves service providers in their goal of improving the quality of services for their clients. The model combines quality criteria (e.g. processing time), business constraints (e.g. execution price), and reputation while taking into account the caller's location, replica's location, and the ability of the computing systems hosting replica to serve a request under a given load. We target our model to those organizations having critical Straight-through Processing, Extreme Transaction Processing applications with associated business constraints and where the quality of the external services impact directly clients' SLAs.
{"title":"Dynamic Web Services Selection in Service-Oriented Distributed Environments","authors":"O. Achim, Florin Pop, V. Cristea","doi":"10.1109/EIDWT.2011.35","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.35","url":null,"abstract":"Nowadays, the Service-Oriented Distributed Systems are de facto platforms for service providers exposing functionalities to external clients. This type of environments allows distributed deployments of web services with the same functionality to multiple locations (called service replicas) in order to fit the clients' requirements. On consumer's side, accessing these services, in a context that gathers quality and business constraints, is most of the time difficult regarding identification of the most suitable service replica. The current work focuses on defining a model and a recommender system logical architecture that help the clients to find the most effective service replica for their needs. Also, the solution serves service providers in their goal of improving the quality of services for their clients. The model combines quality criteria (e.g. processing time), business constraints (e.g. execution price), and reputation while taking into account the caller's location, replica's location, and the ability of the computing systems hosting replica to serve a request under a given load. We target our model to those organizations having critical Straight-through Processing, Extreme Transaction Processing applications with associated business constraints and where the quality of the external services impact directly clients' SLAs.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127222046","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}
Digital signage is an economically promising field in advertising. Yet, it is a hardly researched field, first empirical attempts focused on consumer reactions. Digital signage, though, brings together various market players, all of which with different objectives and expected benefits. For this reason, we introduce a conceptual framework for interactive digital signage that allows developing various business strategies and associated business values integrating the entire set of possible players in their relevant roles and configuration requirements. A rule set represents one of the core modules of the framework, which allows for a sustainable integration of functionalities. Acknowledging that technological and non-technological advancements of digital signage need reconcilement, our proposed integrated approach to digital signage allows for interdisciplinary contributions.
{"title":"Interactive Digital Signage - An Innovative Service and Its Future Strategies","authors":"Christine Bauer, P. Dohmen, C. Strauss","doi":"10.1109/EIDWT.2011.29","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.29","url":null,"abstract":"Digital signage is an economically promising field in advertising. Yet, it is a hardly researched field, first empirical attempts focused on consumer reactions. Digital signage, though, brings together various market players, all of which with different objectives and expected benefits. For this reason, we introduce a conceptual framework for interactive digital signage that allows developing various business strategies and associated business values integrating the entire set of possible players in their relevant roles and configuration requirements. A rule set represents one of the core modules of the framework, which allows for a sustainable integration of functionalities. Acknowledging that technological and non-technological advancements of digital signage need reconcilement, our proposed integrated approach to digital signage allows for interdisciplinary contributions.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131808336","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}
Small and Medium Enterprises (SMEs) face especially increasing pressure to establish efficient business-to-business (b2b) integration solutions and to focus on their core competences, to stay competitive in the globalized economy. As b2b integration solutions are complex and dynamic by nature, SMEs need a properly planned, methodological approach. To guide SMEs in that process this paper introduces a process model for b2b integration. The methodology comprises a thematic analysis focusing on process models in scientific literature, consolidated requirements for the model, and case studies conducted to consolidate and prove the practical applicability of the proposed process model.
{"title":"Guiding B2B Integration of Business Processes and Services: A Process Model for SMEs","authors":"D. Nedbal","doi":"10.1109/EIDWT.2011.25","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.25","url":null,"abstract":"Small and Medium Enterprises (SMEs) face especially increasing pressure to establish efficient business-to-business (b2b) integration solutions and to focus on their core competences, to stay competitive in the globalized economy. As b2b integration solutions are complex and dynamic by nature, SMEs need a properly planned, methodological approach. To guide SMEs in that process this paper introduces a process model for b2b integration. The methodology comprises a thematic analysis focusing on process models in scientific literature, consolidated requirements for the model, and case studies conducted to consolidate and prove the practical applicability of the proposed process model.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116710396","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}
Quan Shi, Yanghua Xiao, N. Bessis, Yiqi Lu, Yaoliang Chen, Richard Hill
Of late there has been considerable interest in the efficient and effective storage of large-scale network graphs, such as those within the domains of social networks, web and virtual communities. The representation of these data graphs is a complex and challenging task and arises as a result of the inherent structural and dynamic properties of a community network, whereby naturally occurring churn can severely affect the ability to optimize the network structure. Since the organization of the network will change over time, we consider how an established method for storing large data graphs (K2 tree) can be augmented and then utilized as an indicator of the relative maturity of a community network. Within this context, we present an algorithm illustrating that the compression effectiveness reduces as the community network structure becomes more dynamic.
{"title":"Towards a Maturity Model for Networks of Practice: A Case of K2 Tree Optimization","authors":"Quan Shi, Yanghua Xiao, N. Bessis, Yiqi Lu, Yaoliang Chen, Richard Hill","doi":"10.1109/EIDWT.2011.11","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.11","url":null,"abstract":"Of late there has been considerable interest in the efficient and effective storage of large-scale network graphs, such as those within the domains of social networks, web and virtual communities. The representation of these data graphs is a complex and challenging task and arises as a result of the inherent structural and dynamic properties of a community network, whereby naturally occurring churn can severely affect the ability to optimize the network structure. Since the organization of the network will change over time, we consider how an established method for storing large data graphs (K2 tree) can be augmented and then utilized as an indicator of the relative maturity of a community network. Within this context, we present an algorithm illustrating that the compression effectiveness reduces as the community network structure becomes more dynamic.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122078737","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}
M. Hiyama, Elis Kulla, Makoto Ikeda, L. Barolli, A. Durresi
A Mobile Ad hoc Network (MANETs) is a group of wireless mobile terminals, which cooperate together by routing packets to each other on a temporary network. MANETs are attracting attention for their potential use in several fields such as collaborative computing and communications in indoor areas. Considering mobility of the terminals, routing is a key process for operation of MANETs. In this paper, we analyze the performance of Optimized Link State Routing (OLSR) protocol in an indoor environment considering different scenarios for horizontal and vertical topologies. We evaluate the scenarios based on delay and jitter metrics. The experimental results show that for vertical topology the performance is affected more by mobility and number of hops, in comparison with the horizontal topology.
{"title":"Comparison Evaluation of Horizontal and Vertical Scenarios for Delay and Jitter Metrics Using a MANET Testbed","authors":"M. Hiyama, Elis Kulla, Makoto Ikeda, L. Barolli, A. Durresi","doi":"10.1109/EIDWT.2011.12","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.12","url":null,"abstract":"A Mobile Ad hoc Network (MANETs) is a group of wireless mobile terminals, which cooperate together by routing packets to each other on a temporary network. MANETs are attracting attention for their potential use in several fields such as collaborative computing and communications in indoor areas. Considering mobility of the terminals, routing is a key process for operation of MANETs. In this paper, we analyze the performance of Optimized Link State Routing (OLSR) protocol in an indoor environment considering different scenarios for horizontal and vertical topologies. We evaluate the scenarios based on delay and jitter metrics. The experimental results show that for vertical topology the performance is affected more by mobility and number of hops, in comparison with the horizontal topology.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123546007","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}
Initiatives of making government data open are continuously gaining interest recently. While this presents immense benefits for increasing transparency, the problem is that the data are frequently offered in heterogeneous formats, missing clear semantics that clarify what the data describe. The data are displayed in ways, which are not always clearly understandable to a broad range of user communities that need to make informed decisions. We address these problems and propose an overall approach, in which raw statistical data independently gathered from the different government institutions are formally and semantically represented, based on an ontology that we present in this paper. We further introduce the approach deployed in publishing these data in alignment with Linked Data principles, as well as present the methods implemented to query single or combined dataset and visualize the results in understandable ways. The introduced approach enables data integration, leading to vast opportunities for information exchange, analysis on combined datasets, simplicity to create mashups, and exploration of innovative ways to use these data creatively.
{"title":"Open Government Data on the Web: A Semantic Approach","authors":"Julia Hoxha, Armand Brahaj","doi":"10.1109/EIDWT.2011.24","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.24","url":null,"abstract":"Initiatives of making government data open are continuously gaining interest recently. While this presents immense benefits for increasing transparency, the problem is that the data are frequently offered in heterogeneous formats, missing clear semantics that clarify what the data describe. The data are displayed in ways, which are not always clearly understandable to a broad range of user communities that need to make informed decisions. We address these problems and propose an overall approach, in which raw statistical data independently gathered from the different government institutions are formally and semantically represented, based on an ontology that we present in this paper. We further introduce the approach deployed in publishing these data in alignment with Linked Data principles, as well as present the methods implemented to query single or combined dataset and visualize the results in understandable ways. The introduced approach enables data integration, leading to vast opportunities for information exchange, analysis on combined datasets, simplicity to create mashups, and exploration of innovative ways to use these data creatively.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125304933","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}
Corinna Engelhardt-Nowitzki, N. Kryvinska, C. Strauss
Current dynamic and turbulent markets require flexible business processes that increasingly depend on fast and reliable information flows between heterogeneous companies. This relies on innovative types of integrated applications on all layers - technological, organizational and process-related - and a holistic managerial framework to establish a smoothly operating layer integration. Thus, we first characterize actual business requirements - especially regarding business attributes such as complexity, flexibility and a heterarchical system behavior from a value network perspective. Then, we propose a layer-based framework for modeling strategic requirements on information services. We finally draw conclusions regarding the consequences for information and business services and related architectural design principles.
{"title":"Strategic Demands on Information Services in Uncertain Businesses: A Layer-Based Framework from a Value Network Perspective","authors":"Corinna Engelhardt-Nowitzki, N. Kryvinska, C. Strauss","doi":"10.1109/EIDWT.2011.28","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.28","url":null,"abstract":"Current dynamic and turbulent markets require flexible business processes that increasingly depend on fast and reliable information flows between heterogeneous companies. This relies on innovative types of integrated applications on all layers - technological, organizational and process-related - and a holistic managerial framework to establish a smoothly operating layer integration. Thus, we first characterize actual business requirements - especially regarding business attributes such as complexity, flexibility and a heterarchical system behavior from a value network perspective. Then, we propose a layer-based framework for modeling strategic requirements on information services. We finally draw conclusions regarding the consequences for information and business services and related architectural design principles.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126524851","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}
F. Xhafa, S. Caballé, N. Bessis, A. Juan, L. Barolli, Rozeta Miho
Online Learning and Virtual Campuses have become commonplace paradigms for distance teaching and learning. Unlike face to face teaching and learning methods in which teachers and managers can take decisions based on information from everyday classroom activities, decision making in online learning becomes more complex due to the online setting. Teachers need to get information from the online learning system on the learning processes and learners' activities in order to better support them during the learning process. On the other hand, managers need information on the usage of computational resources of the Virtual Campus to make the computational infrastructure as much efficient as possible. In this work we will address the use of massive processing and data mining techniques to assist teachers, managers and developers of a Virtual Campus in their decision making, aiming to better support teaching and learning processes. Our approach is based on processing log files of the online learning system (Virtual Campus, specific learning platform, document repositories) which keep information on online users during their interaction with and within the system. Log files, which are nowadays commonplace in all learning management systems, tend to be large to very large in size, and thus require a massive processing and then statistical analysis and data mining techniques to extract useful information on user activities, resource usage in the Virtual Campus and web content access, among others.
{"title":"Using Massive Processing and Mining for Modelling and Decision Making in Online Learning Systems","authors":"F. Xhafa, S. Caballé, N. Bessis, A. Juan, L. Barolli, Rozeta Miho","doi":"10.1109/EIDWT.2011.22","DOIUrl":"https://doi.org/10.1109/EIDWT.2011.22","url":null,"abstract":"Online Learning and Virtual Campuses have become commonplace paradigms for distance teaching and learning. Unlike face to face teaching and learning methods in which teachers and managers can take decisions based on information from everyday classroom activities, decision making in online learning becomes more complex due to the online setting. Teachers need to get information from the online learning system on the learning processes and learners' activities in order to better support them during the learning process. On the other hand, managers need information on the usage of computational resources of the Virtual Campus to make the computational infrastructure as much efficient as possible. In this work we will address the use of massive processing and data mining techniques to assist teachers, managers and developers of a Virtual Campus in their decision making, aiming to better support teaching and learning processes. Our approach is based on processing log files of the online learning system (Virtual Campus, specific learning platform, document repositories) which keep information on online users during their interaction with and within the system. Log files, which are nowadays commonplace in all learning management systems, tend to be large to very large in size, and thus require a massive processing and then statistical analysis and data mining techniques to extract useful information on user activities, resource usage in the Virtual Campus and web content access, among others.","PeriodicalId":423797,"journal":{"name":"2011 International Conference on Emerging Intelligent Data and Web Technologies","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126848797","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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