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Proceedings of the 29th international conference on Very large data bases - Volume 29
Johann-Christoph Freytag,Peter C. Lockemann,Serge Abiteboul,Michael J. Carey,Patricia G. Selinger,Andreas Heuer +5 more
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The article was published on 2003-09-09 and is currently open access. It has received 14 citations till now. The article focuses on the topics: Volume (compression).read more
Citations
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Proceedings ArticleDOI
Dealing with concept drift and class imbalance in multi-label stream classification
TL;DR: A novel multilabel stream classification approach that employs two windows for each label, one for positive and one for negative examples, and a batch-incremental thresholding technique is proposed to further deal with the class imbalance problem.
Proceedings ArticleDOI
Distributed Real-Time Sentiment Analysis for Big Data Social Streams
TL;DR: Sentinel as discussed by the authors is a distributed system written in Java that aims to solve the real-time stream data processing problem by enforcing both the processing and learning process to be done in distributed form.
Book ChapterDOI
Ontology and Schema Evolution in Data Integration: Review and Assessment
TL;DR: The requirements for an ideal data integration system that will enable and exploit ontology evolution are given, which strengthens the position that current state of the art systems are not adequate for ontology-based data integration.
Semi-Automated Schema Integration (Icase): A Tool To Identify And Resolve Naming Conflicts
Said Tahat,Kamsuriah Ahmad +1 more
TL;DR: In this paper, a new approach called (ICASE) Identify Correspondences among Schema Elements, ICASE takes the challenge to solve the problems of naming conflict which includes homonym conflict and synonym conflict.
Journal ArticleDOI
Radiator - efficient message propagation in context-aware systems
Pedro Alves,Paulo Ferreira +1 more
TL;DR: Radiator, a middleware to assist application programmers implementing efficient context propagation mechanisms within their applications makes an efficient use of network bandwidth, arguably the biggest bottleneck in the deployment of large-scale context propagation systems.
References
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Proceedings ArticleDOI
Dealing with concept drift and class imbalance in multi-label stream classification
TL;DR: A novel multilabel stream classification approach that employs two windows for each label, one for positive and one for negative examples, and a batch-incremental thresholding technique is proposed to further deal with the class imbalance problem.
Proceedings ArticleDOI
Distributed Real-Time Sentiment Analysis for Big Data Social Streams
TL;DR: Sentinel as discussed by the authors is a distributed system written in Java that aims to solve the real-time stream data processing problem by enforcing both the processing and learning process to be done in distributed form.
Book ChapterDOI
Ontology and Schema Evolution in Data Integration: Review and Assessment
TL;DR: The requirements for an ideal data integration system that will enable and exploit ontology evolution are given, which strengthens the position that current state of the art systems are not adequate for ontology-based data integration.
Semi-Automated Schema Integration (Icase): A Tool To Identify And Resolve Naming Conflicts
Said Tahat,Kamsuriah Ahmad +1 more
TL;DR: In this paper, a new approach called (ICASE) Identify Correspondences among Schema Elements, ICASE takes the challenge to solve the problems of naming conflict which includes homonym conflict and synonym conflict.
Journal ArticleDOI
Radiator - efficient message propagation in context-aware systems
Pedro Alves,Paulo Ferreira +1 more
TL;DR: Radiator, a middleware to assist application programmers implementing efficient context propagation mechanisms within their applications makes an efficient use of network bandwidth, arguably the biggest bottleneck in the deployment of large-scale context propagation systems.