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The Research of data Mining Based on Extension Sets

The Research of Data Mining Based on Extension Sets

引用

International conference on Information Technology and Applications, ICITA

作者： Qing Lu Yongquan Yu Institute of Intelligent Engineering Guangdong University of Technology Guangzhou China

ISBN: (纸本)0769523161

Extension data mining is a new method that is based on the extension analysis method of extenics. Extenics is a new disciplinary and a new branch of artificial intelligence. data mining techniques have their origins in methods from statistics, pattern recognition, databases, artificial intelligence, high performance and parallel computing and visualization. This paper presents how to deal with multiple data formats and unify data representation based on extenics

关键词： data mining Artificial intelligence Virtual colonoscopy Visual databases Association rules Mathematics data engineering Electronic mail Statistics Pattern recognition

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A Camera-Projector System for Real-Time 3D Video

A Camera-Projector System for Real-Time 3D Video

引用

IEEE Computer Society conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： M.B. Vieira L. Velho Asla Sa P.C. Carvalho IMPA-Instituto de Matematica Pura e Aplicada Rio de Janeiro Brazil

In this paper, we describe a real-time 3D video system that is based on active stereo. Combining a NTSC standard camera/ projector equipment and a suitable color code, the geometric and photometric information of a scene is robustly obtained in 30fps. Our main motivation to develop this system is to create a platform for investigating the issues that will be posed by the next generation of digital video and how it can shape up new media.

关键词： Real time systems Cameras Stereo vision Layout Robustness Image analysis data mining data processing data visualization Hardware

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IT-Supported visualization of Knowledge Community Structures

IT-Supported Visualization of Knowledge Community Structures

引用

Annual Hawaii International conference on System Sciences (HICSS)

作者： M. Trier Faculty of Computing Sciences and Electrical Engineering Technical University Berlin Berlin Germany

In the first part of this article, Communities of Practice are conceptually positioned as a very important and successful element of corporate Knowledge Management. By utilizing IT platforms they enable a direct connection of knowledge workers and the transfer and reuse of tacit expertise to geographically remote business problems. Although current Community Software provides its members with many sophisticated features, facilitators or moderators still lack functionalities to monitor, evaluate and communicate the development of their expert networks. After discussing the requirements of this special target group, this contribution concentrates on electronic discussions and proposes a software system for automatically analyzing the structure and value of Knowledge Communities by extracting available electronic data about their communication network. This includes the entities employee, topic, and document and their many relationships. Insightful structural visualizations based on theories of Network analysis are introduced. They can be accessed and manipulated in a Management Cockpit to improve the transparency in communities.

关键词： Knowledge management Instruments Remote monitoring Software systems data mining Communication networks data visualization Information processing Procurement Information analysis

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A geometric framework to visualize fuzzy-clustered data

A geometric framework to visualize fuzzy-clustered data

引用

Computer Science Society (SCCC) International conference Chilean FLAGGED

作者： Yuanquan Zhang L. Rueda School of Computer Science University of Windsor Windsor ONT Canada

Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and expectation maximization, allow an object to be assigned to multi-clusters with different degrees of membership. However, the memberships that result from fuzzy clustering algorithms are difficult to analyze and visualize, and usually are converted to 0-1 memberships. In this paper, we propose a geometric framework to visualize fuzzy-clustered data. The scheme provides a geometric visualization by grouping the objects with similar cluster membership, and shows clear advantages over existing methods, demonstrating its capabilities for viewing and navigating inter-cluster relationships in a spatial manner.

关键词： data visualization Clustering algorithms Computer science Clustering methods Application software Algorithm design and analysis Navigation Speech Self organizing feature maps DNA

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Supervised LLE in ICA Space for Facial Expression Recognition

Supervised LLE in ICA Space for Facial Expression Recognitio...

引用

International conference on Neural Networks and Brain (ICNNB)

作者： Qijun Zhao D. Zhang Hongtao Lu Departinent of Computer Scicence and Engineering Shanghai Jiaotong University Shanghai China Department of Computing Hong Kong Polytechnic University Hong Kong China Department of Computer Scicence and Engineering Shanghai Jiaotong University Shanghai China

Locally linear embedding (LLE) is an unsupervised nonlinear manifold learning algorithm. It performs well in visualizing data yet has a very poor recognition rate in facial expression recognition. In this paper, to improve the performance of LLE in facial expression recognition, we first employ the independent component analysis (ICA) technique to preprocess the face images such that they are represented by some independent components and some noise is filtered from them. We then propose a supervised LLE (SLLE) algorithm to learn the hidden manifold. SLLE constructs the neighborhood graphs for the data according to the Euclidean distances between them and the cluster information of them. Its embedding step is the same as that of LLE. Finally, we use a generalized regression neural network (GRNN) to learn the implicit nonlinear mapping from the ICA space to the embedded manifold. Experiments on the JAFFE database show promising results

关键词： Independent component analysis Face recognition Embedded computing data visualization Image recognition Humans Principal component analysis Linear discriminant analysis Image sequences Manifolds

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Development of an artificial intelligence system for detection and visualization of auto theft recovery patterns

Development of an artificial intelligence system for detecti...

引用

IEEE International conference on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS)

作者： O. Kursun K. Reynolds R. Eaglin Bing Chen M. Georgiopoulos Department of Engineering Technology University of Central Florida Orlando FL USA Department of Criminal Justice and Legal Studies University of Central Florida Orlando FL USA Department of Electrical and Computer Engineering University of Central Florida Orlando FL USA

Auto theft is the most expensive property crime that is on the rise across the nation. The prediction of auto drop-off locations can increase the probability of offender apprehension. For successful prediction, first the patterns of thefts are identified. Then, a prototype expert system successfully identified embedded drop-off location clusters that were previously unknown to investigators. The system was developed using the expert knowledge of auto theft investigators along with spatial and temporal auto theft event data. Drop-off clusters were identified and validated. A map interface allows the user to visualize the feature clusters and produce detailed reports. Such GIS applications give us the ability to attain a geographical perspective of incidents within the community, thus help law enforcement officers discover the patterns of incidents and take necessary measures to prevent them

关键词： Artificial intelligence Vehicles Geographic Information Systems Law enforcement Pattern analysis Legal factors Prototypes Expert systems data visualization Statistics

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Feature Selection for Cluster analysis: an Approach Based on the Simplified Silhouette Criterion

Feature Selection for Cluster Analysis: an Approach Based on...

引用

International conference on Computational Intelligence for Modelling, Control and Automation, and International conference on Intelligent Agents, Web Technologies and Internet Commerce

作者： E.R. Hruschka T.F. Covoes Catholic University of Santos Unisantos Sao Paulo Brazil

This paper explores the problem of selecting relevant features for clustering, assuming that the number of clusters is not known a priori. The number of clusters and the subset of relevant features are usually inter-related. From this standpoint, we propose an exploratory data analysis method that considers the relationships between these two aspects. Empirical results in a number of synthetic and bioinformatics datasets show that the proposed approach can allow both reducing the number of features and providing good estimations of the number of clusters

关键词： Clustering algorithms data analysis Clustering methods Information filtering Information filters Bioinformatics Supervised learning Text mining Gene expression data visualization

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BRDF recovering and scene re-lighting using an environment map

BRDF recovering and scene re-lighting using an environment m...

引用

International conference on Computer Graphics, Imaging and visualization, CGIV

作者： Youngsup Park Taiho Choi Kyunghyun Yoon Computer Graphics Lab CS&E Chung-Ang University Seoul South Korea

A rendering algorithm based on physical phenomenon and well-defined model data are needed to generate a synthetic image realistically. In this paper, inverse rendering based on an environment map is proposed to obtain BRDF of objects. Many researchers try to find BRDF by analyzing many pictures taken with well-controlled camera and light position. But this method is available at a laboratory environment. Limits of previous works can be conquered by using inverse rendering based on an environment map and it is possible to get BRDF of objects at a general environment. Inputs are an image, an environment map and 3D geometry data of models. Objects of an input image are divided into three parts - diffuse reflection, glossy reflection and diffuse texture -and BRDF of objects are recovered. Using BRDF of objects, it is possible to add virtual objects and to remove real objects from an input image.

关键词： Layout Rendering (computer graphics) Cameras Optical reflection Computer graphics Image generation Geometry Solid modeling Distribution functions Image analysis

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IPMatrix: an effective visualization framework for cyber threat monitoring

IPMatrix: an effective visualization framework for cyber thr...

引用

International conference on Information Visualisation (IV)

作者： Kazuhixo Ohnof Hideki Koikef Kanba Koizumi Graduate Sch. of Inf. Syst. Electro-Commun. Univ. Osaka Japan Graduate School of Media and Governance Keio University Japan

An effective Internet cyber threat monitoring system detects cyber threats using network sensors deployed at particular points on the Internet, statistically analyses the time of attack, source of attack, and type of attack, and then visualizes the result of this analysis. Existing systems, however, simply visualize country-by-country statistics of attacks or hourly changes of attacks. Using these systems, it is difficult to understand the source of attack, the diffusion of the attack, or the relation between the target and the source of the attack. This paper described a method for visualizing cyber threats by using 2-dimensional matrix representation of IP addresses. The advantages of this method are that: (I) the logical distance of IP addresses is represented intuitively, (2) Internet address space is visualized economically, (3) macroscopic information (site level) and microscopic information (local level) are visualized simultaneously. By using this visualization framework, propagation of the Welchia worm and the Sasser.D worm are visualized.

关键词： Monitoring Intrusion detection Computer worms data visualization Sensor systems IP networks Statistics Information analysis Internet Economic forecasting

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A new educational set-up for a power engineering laboratory

A new educational set-up for a power engineering laboratory

引用

European conference on Power Electronics and Applications

作者： A. Kuznietsov ZES ZIMMER Electronic Systems GmbH Oberursel Germany

This paper presents a new educational set-up for using in industrial electronics and power engineering laboratory. The presented system consists of a precision power meter, an autonomous data logging unit as well as of application software. It helps students to understand the concepts of power electronic appliances, machines and drives by measuring the typical signals with different filtering and synchronisation tools, visualising the data and investigating the results with analytical models created with Matlabreg and Simulinkreg. The educational kit can present typical waveforms, phasor diagrams, real, active and reactive power and spectral diagrams and can also be used for improved laboratory practice, like investigation of transformers, PWM devices and rotating machines. Additionally there is a possibility to evaluate power quality with statistical and regression analysis

关键词： Power engineering Laboratories Pulse width modulation Industrial electronics Application software Power electronics Home appliances Power measurement Filtering data visualization

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