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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47 Result(s)
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English
Computer Science
Artificial Intelligence
Information Storage and Retrieval
Dong-**ng Wang
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Book and Conference Proceedings
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Chapter and Conference Paper
APForecast: An Adaptive Forecasting Method for Data Streams
This research investigates continuous forecasting queries with alterable forecasting-step over data streams. A novel Adaptive Precision forecasting method to forecasting single attribute value of item in a sin...
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Chapter and Conference Paper
Orthogonally Rotational Transformation for Naive Bayes Learning
Naive Bayes is one of the most efficient and effective learning algorithms for machine learning, pattern recognition and data mining. But its conditional independence assumption is rarely true in real-world ap...
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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 and Conference Paper
Automatic Generation of Web Service Workflow Using a Probability Based Process-Semantic Repository
Workflow management system has been utilized in the web service environment to make mass of different web services work cooperatively. In this paper, the authors propose a novel automatic generation method of ...
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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
Atavistic Strategy for Genetic Algorithm
Atavistic evolutionary strategy for genetic algorithm is put forward according to the atavistic phenomena existing in the process of biological evolution, and the framework of the new strategy is given also. T...
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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
Reasoning about Semantic Web Services with an Approach Based on Temporal Description Logic
Temporal description logic ALC-LTL not only has considerable expressive power, but also extends the description capability of description logic from the static domain to the dynamic domain. In this paper, ALC-LTL...
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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
Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism
In this big data era, the capability of mining and analyzing large scale datasets is imperative. As data are becoming more abundant than ever before, data driven methods are playing a critical role in areas su...
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Chapter and Conference Paper
Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism
CUDA is an advanced massively parallel computing platform that can provide high performance computing power at much more affordable cost. In this paper, we present a parallel graph-based substructure pattern m...
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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
Semi-supervised Feature Extraction for RNA-Seq Data Analysis
It is of urgency to effectively identify differentially expressed genes from RNA-Seq data. In this paper, we propose a novel method, semi-supervised feature extraction, to analyze RNA-Seq data. Our scheme is s...
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Chapter and Conference Paper
Optimized Uyghur Segmentation for Statistical Machine Translation
In this paper, we propose an optimized method to segment the Uyghur word. We consider the optimization as a classification problem; the features are extracted from Uyghur-Chinese bilingual corpus. Experimental...
