Conceptual Modeling for Advanced Application Domains
ER 2004 Workshops CoMoGIS, CoMWIM, ECDM, CoMoA, DGOV, and eCOMO, Shanghai, China, November 8-12, 2004. Proceedings
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15 Result(s)
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Dong-**ng Wang
English
Artificial Intelligence
Database Management
Information Storage and Retrieval
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Book and Conference Proceedings
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Chapter and Conference Paper
A Fast Temporal Texture Synthesis Algorithm Using Segment Genetic Algorithm
Texture synthesis is a very active research area in computer vision and graphics, and temporal texture synthesis is one subset of it. We present a new temporal texture synthesis algorithm, in which a segment g...
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Chapter
Multi-Dimensional Analysis of Data Streams Using Stream Cubes
Large volumes of dynamic stream data pose great challenges to its analysis. Besides its dynamic and transient behavior, stream data has another important characteristic: multi-dimensionality. Much of stream data ...
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Chapter and Conference Paper
Multiple Ranker Method in Document Retrieval
In this paper, we propose a multiple-ranker approach to make learning to rank methods more effective for document retrieval application. In traditional learning to rank methods, a ranker is learned from a set ...
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Chapter and Conference Paper
Skin Detection from Different Color Spaces for Model-Based Face Detection
Skin and face detection has many important applications in intelligent human-machine interfaces, reliable video surveillance and visual understanding of human activities. In this paper, we propose an efficient...
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Chapter and Conference Paper
Optimization of Oil Field Injection Pipe Network Model Based on Electromagnetism-Like Mechanism Algorithm
The accuracy of water injection pipe network hydraulic model is directly related to the fitting degree of water injection pipe network actual running state. In order to improve the accuracy, using optimization...
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Chapter and Conference Paper
Study on Engineering Consciousness and Ability Fostering of Applied Talents in Engineering Education
Fostering problem of innovative applied talent in engineering education is important problem of modern industry development and innovative national construction. The paper analyze detailedly Engineering abilit...
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Chapter and Conference Paper
Clustering-Based k-Anonymity
Privacy is one of major concerns when data containing sensitive information needs to be released for ad hoc analysis, which has attracted wide research interest on privacy-preserving data publishing in the pas...
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Chapter and Conference Paper
Selecting an Appropriate Interestingness Measure to Evaluate the Correlation between Syndrome Elements and Symptoms
In order to select the best interestingness measure appropriate for evaluating the correlation between syndrome elements and symptoms, 60 objective interestingness measures were selected from different subject...
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Chapter and Conference Paper
Enhancing Utility and Privacy-Safety via Semi-homogenous Generalization
The existing solutions to privacy preserving publication can be classified into the homogenous and non-homogenous generalization. The generalization of data increases the uncertainty of attribute values, and l...
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Chapter and Conference Paper
Holistic Subgraph Search over Large Graphs
Due to its wide applications, subgraph matching problem has been studied extensively in the past decade. In this paper, we consider the subgraph match query in a more general scenario. We build a structural in...
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Chapter and Conference Paper
Fast Multiway Maximum Margin Clustering Based on Genetic Algorithm via the NystrÖm Method
Motivated by theories of support vector machine, the concept of maximum margin has been extended to the applications in the unsupervised scenario, develo** a novel clustering method─maximum margin clustering (M...
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Chapter and Conference Paper
Community Detection in Graph Streams by Pruning Zombie Nodes
Detecting communities in graph streams has attracted a large amount of attention recently. Although many algorithms have been developed from different perspectives, there is still a limitation to the existing ...
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Chapter and Conference Paper
Relation Classification in Scientific Papers Based on Convolutional Neural Network
Scientific papers are important for scholars to track trends in specific research areas. With the increase in the number of scientific papers, it is difficult for scholars to read all the papers to extract eme...
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Chapter and Conference Paper
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization
In recent years, multi-view clustering has been widely used in many areas. As an important category of multi-view clustering, multi-view spectral clustering has recently shown promising advantages in partition...
