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An interactive tool for data visualization and clustering

An interactive tool for data visualization and clustering

11th International conference on Knowledge-Based Intelligent Informational and Engineering Systems/17th Italian Workshop on Neural Networks

作者： Iorio, F. Miele, G. Napolitano, F. Raiconi, G. Tagliaferri, R. Univ Salerno DMI I-84084 Fisciano Italy Univ Naples Federico II DSF I-80136 Naples Italy

ISBN: (纸本)9783540748281

In this work we present an integrated set of tools allowing a multi-step process that, starting from raw datasets, brings them through dimensionality reduction, preclustering analysis and clustering assessment, to a visual and interactive environment for data exploration. At the core of the process lies the idea of subdividing the process of data clusterization into different steps: a preliminary analysis in which algorithmic parameters are estimated, a clustering step based on the previous analysis and, finally, a clusterization assessment step including interactive clustering. This last step allows users to participate in the process of clustering and helps them figuring out the data underlying structures. The models are actually implemented in a group of integrated, user-friendly tools under the MATLAB environment, featuring a number of classical and novel data processing, visualization, assessment and interaction methods.

关键词： clusters analysis clustering assessment visualization fuzzy clusters analysis

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CluVis: Dual-domain visual exploration of cluster/network metadata 45

CluVis: Dual-domain visual exploration of cluster/network me...

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45th Annual ACM Southeast conference, ACMSE 2007

作者： Waters, Christopher Howell, Jonathan Jankun-Kelly, T.J. Department of Computer Science and Engineering James Worth Bagley College of Engineering Mississippi State University Mississippi State MS 39762

ISBN: (纸本)1595936297

CluVis, a prototype for visual monitoring and exploration of cluster and network metadata, is introducted. CluVis builds upon interactively added charts of cluster/network meta-data (e.g., packets received, processor activity, etc.) created by the user. CluVis uses a dual-domain approach that depicts the active chart on each node of a computer cluster or communication network in one view while displaying the relationships between explored charts in another view. Thus, CluVis facilitates a hypothesis-driven exploration of computer system metadata for visual analysis. Copyright 2007 ACM.

关键词： Metadata

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Fused exploration of temporal developments and topical relationships in heterogeneous data sets

Fused exploration of temporal developments and topical relat...

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11th International conference on Information visualization (IV 2007)

作者： Sabol, Vedran Granitzer, Michael Kienreich, Wolfgang Know Ctr Graz Graz Austria

ISBN: (纸本)9780769529004

In many application areas which deal with heterogeneous data sets temporal developments and topical relationships both play an important role. A number of visual representations have been developed which separately address each of these two aspects of the data However, a simultaneous analysis of both aspects is also often required. In this paper we introduce an approach which utilizes a combination of visual representations, where some are targeting the temporal behaviour while others are focusing on topical relationships. The views are fused in the sense that they are tightly coupled with respect to the visualised data set, considered time interval, and user actions. The resulting user interface enables the user to simultaneously explore and discover patterns in both temporal and topical aspects of a heterogeneous data set. As a proof of concept a demo application was developed and applied for visualising temporal and topical patterns extracted from meeting recordings.

关键词： Knowledge engineering

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Enhancing Bluejay with scalability, genome comparison and microarray visualization

Enhancing Bluejay with scalability, genome comparison and mi...

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30th Annual conference of the German-Classification-Society

作者： Dong, Anguo Turinsky, Andrei L. Ah-Seng, Andrew C. Taschuk, Morgan Gordon, Paul M. K. Hochauer, Katharina Frols, Sabrina Soh, Jung Sensen, Christoph W. Univ Calgary Sun Ctr Excellence Visual Genom 3330 Hosp Dr NW Calgary AB T2N 4N1 Canada Univ Bergen Dept Biol N-5020 Bergen Norway

ISBN: (纸本)9783540709800

The Bluejay genome browser (Browser for Linear Units in Java (TM)) is a flexible visualization environment for biological sequences, which is capable of producing high-quality graphical outputs (http://***). We have recently added functionalities to Bluejay to realize the true potential of 2D bioinformatics visualization. We describe the three major new functionalities that will be of added value to the user: (i) exploration of large genomes using level-of-detail management, (ii) comparative visualization of multiple genomes (iii) visualization of microarray data in a genomic context.

关键词： visualization

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20 years of four HCI conferences: A visual exploration

20 years of four HCI conferences: A visual exploration

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作者： Henry, Nathalie Goodell, Howard Elmqvist, Niklas Fekete, Jean-Daniel INRIA LRI Université Paris-Sud Orsay France University of Sydney NSW Australia INRIA Futurs Bat 490 Université Paris-Sud F91405 Orsay Cedex France

We present a visual exploration of the field of human-computer interaction (HCI) through the author and article metadata of four of its major conferences: the ACM conferences on Computer-Human Interaction (CHI), User Interface Software and Technology, and Advanced visual Interfaces and the IEEE Symposium on Information visualization. This article describes many global and local patterns we discovered in this data set, together with the exploration process that produced them. Some expected patterns emerged, such as that - like most social networks - coauthorship and citation networks exhibit a power-law degree distribution, with a few widely collaborating authors and highly cited articles. Also, the prestigious and long-established CHI conference has the highest impact (citations by the others). Unexpected insights included that the years when a given conference was most selective are not correlated with those that produced its most highly referenced articles and that influential authors have distinct patterns of collaboration. An interesting sidelight is that methods from the HCI field-exploratory data analysis by information visualization and direct-manipulation interaction - proved useful for this analysis. They allowed us to take an open-ended, exploratory approach, guided by the data itself. As we answered our original questions, new ones arose;as we confirmed patterns we expected, we discovered refinements, exceptions, and fascinating new ones. Copyright © 2007, Lawrence Erlbaum Associates, Inc.

关键词： Human computer interaction

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NewsLab: Exploratory broadcast news video analysis 07

NewsLab: Exploratory broadcast news video analysis

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IEEE Symposium on visual Analytics Science and Technology

作者： Ghoniem, Mohammad Luo, Dongning Yang, Jing Ribarsky, William UNC Charlotte Charlotte NC USA

ISBN: (纸本)9781424416592

In this paper, we introduce NewsLab, an exploratory visualization approach for the analysis of large scale broadcast news video collections containing many thousands of news stories over extended periods of time. A river metaphor is used to depict the thematic changes of the news over time. An interactive lens metaphor allows the playback of fine-grained video segments selected through the river overview. Multi-resolution navigation is supported via a hierarchical time structure as well as a hierarchical theme structure. Themes can be explored hierarchically according to their thematic structure, or in an unstructured fashion using various ranking criteria. A rich set of interactions such as filtering, drill-down/roll-up navigation, history animation, and keyword based search are also provided. Our case studies show how this set of tools can be used to find emerging topics in the news, compare different broadcasters, or mine the news for topics of interest.

关键词： large data exploration broadcast video analysis time filtering clustering animation comparative analysis

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An interactive visual exploration tool for Northern California's water monitoring network

An interactive visual exploration tool for Northern Californ...

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conference on visualization and data analysis 2007

作者： Sreevalsan-Nair, Jaya Van Nieuwenhuyse, Erwin Hotz, Ingrid Linsen, Lars Hamann, Bernd Univ Calif Davis Inst Data Anal & Visualizat Davis CA 95616 USA US Bur Reclamat Sacramento CA 95825 USA Konrad Zuse Zentrum Informat Tech Berlin Visualizat & Data Anal Berlin Germany Int Univ Bremen Computat Sci & Comp Sci Bremen Germany

ISBN: (纸本)9780819466082

The water monitoring network in Northern California provides us with an integrated flow and water-quality dataset of the Sacramento-San Joaquin Delta, the reservoirs, and the two main rivers feeding the Delta, namely the Sacramento and the San Joaquin rivers. Understanding the dynamics and complex interactions among the components of this large water supply system and how they affect the water quality, and ecological conditions for fish and wildlife requires the assimilation of large amounts of data. A multivariate, time series data visualization tool which encompasses various components of the system, in a geographical context, is the most appropriate solution to this challenge. We have developed an abstract representation of the water system, which uses various information visualization techniques, like focuts+context techniques, graph representation, 3D glyphs, and colormapping, to visualize time series data of multiple parameters.

关键词： Information visualization focus plus context multivariate data time series data

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Dimensionality reduction techniques for data exploration

Dimensionality reduction techniques for data exploration

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6th International conference on Information, Communications and Signal Processing

作者： Tsai, Flora S. Chan, Kap Luk Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore

ISBN: (纸本)9781424409822

data exploration, or the search for features in data that may indicate deeper relationships among variables, relies heavily on visual methods because of the power of the human eye to detect structures. However, for large data sets with many variables and dimensions, the number of dimensions of the data can be reduced by applying dimensionality reduction techniques. This paper reviews current linear and nonlinear dimensionality reduction techniques. The nonlinear dimensionality reduction techniques which deal with finding a lower dimensional embedding of a nonlinear manifold can be classified under manifold learning algorithms. For basic types of nonlinear manifolds, experiments were performed on some of the current dimensionality reduction techniques. The nonlinear dimensionality reduction techniques generally do not perform well in the presence of noise, as seen from the results. When faced with a larger amount of noise, one of the algorithms was not able to converge to a solution. Thus, in order to apply nonlinear dimensionality reduction techniques effectively, the neighborhood, the density, and noise levels need to be taken into account.

关键词： Nonlinear analysis

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Patra: A novel document architecture for integrating handwriting with audio-visual information

Patra: A novel document architecture for integrating handwri...

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9th International conference on Document analysis and Recognition

作者： Harit, Gaurav Mankar, Vinod Chaudhury, Santanu Indian Inst Technol Dept Elect Engn New Delhi 110016 India

ISBN: (纸本)9780769528229

In this paper we present Patra - an integrated document architecture which incorporates handwritten illustrations captured and rendered in a temporal fashion synchronized with audio, video, text, and image data. The architecture of Patra permits non-linear growth in the form of multiple hierarchically organized play streams. Semantic metadata is also an integral part of Patra which serves a useful purpose of organizing such documents in a collection. We have developed an email application in which the users are provided with an authoring and rendering environment to compose, view, and reply to messages in the form of Patra.

关键词： Semantics

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Segmentation of three-dimensional retinal image data

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IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2007年第6期13卷 1719-1726页

作者： Fuller, Alfred R. Zawadzki, Robert J. Choi, Stacey Wiley, David F. Werner, John S. Hamann, Bernd Univ Calif Davis Inst Data Anal & Visualizat Davis CA 95616 USA Univ Calif Davis Dept Comp Sci Davis CA 95616 USA Univ Calif Davis Dept Ophthalmol Vis Sci & Adv Retinal Imaging Lab Davis CA 95616 USA

We have combined methods from volume visualization and data analysis to support better diagnosis and treatment of human retinal diseases. Many diseases can be identified by abnormalities in the thicknesses of various retinal layers captured using optical coherence tomography (OCT). We used a support vector machine (SVM) to perform semi-automatic segmentation of retinal layers for subsequent analysis including a comparison of layer thicknesses to known healthy parameters. We have extended and generalized an older SVM approach to support better performance in a clinical setting through performance enhancements and graceful handling of inherent noise in OCT data by considering statistical characteristics at multiple levels of resolution. The addition of the multi-resolution hierarchy extends the SVM to have "global awareness." A feature, such as a retinal layer, can therefore be modeled within the SVM as a combination of statistical characteristics across all levels;thus capturing high- and low-frequency information. We have compared our semi-automatically generated segmentations to manually segmented layers for verification purposes. Our main goals were to provide a tool that could (i) be used in a clinical setting;(ii) operate on noisy OCT data;and (iii) isolate individual or multiple retinal layers in both healthy and disease cases that contain structural deformities.

关键词： support vector machine segmentation image analysis retinal optical coherence tomography volume visualization image processing

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