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14th International Conference on Vision, Modeling, and visualization, VMV 2009

作者： Hauser, Helwig Visualization Group University of Bergen Norway

ISBN: (纸本)9783980487481

Interactive visual data exploration and analysis is a powerful methodology for enabling insight into complex and also large data. the iterative process of visualization and interaction (and back to visualization, aso.) can be seen as a visual dialog between the user and the data. thereby, powerful data analysis schemes are enabled such as a step-by-step information drill-down, steered by the users perception, cognition, and knowledge. In this talk, we look at different levels of this methodology (in the sense of levels of complexity), starting at the first level of show & brush, continuing then via relational analysis to a third level that we call complex analysis. the hypothesis is stated that it indeed is useful to have these different levels of complexity for interactive visual data analysis: a large share of all addressed problems can be satisfyingly solved with the simple level of show & brush, while the more complex levels of this methodology are only paying off in special cases. Along with a characterization of these levels, we also take a look at a number of illustrative examples.

关键词： visualization

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CSA: a web service for the complete process of ChIP-Seq analysis

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BMC BIOINFORMATICS 2019年第15期20卷 1-8页

作者： Li, Min Tang, Li Wu, Fang-Xiang Pan, Yi Wang, Jianxin Cent South Univ Sch Comp Sci & Engn Changsha Hunan Peoples R China Univ Saskatchewan Div Biomed Engn Saskatoon SK S7N 5A9 Canada Univ Saskatchewan Dept Mech Engn Saskatoon SK S7N 5A9 Canada Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA

Background: Chromatin immunoprecipitation sequencing (ChIP-seq) is a technology that combines chromatin immunoprecipitation (ChIP) with next generation of sequencing technology (NGS) to analyze protein interactions with DNA. At present, most ChIP-seq analysis tools adopt the command line, which lacks user-friendly interfaces. Although some web services with graphical interfaces have been developed for ChIP-seq analysis, these sites cannot provide a comprehensive analysis of ChIP-seq from raw data to downstream analysis. Results: In this study, we develop a web service for the whole process of ChIP-Seq analysis (CSA), which covers mapping, quality control, peak calling, and downstream analysis. In addition, CSA provides a customization function for users to define their own workflows. And the visualization of mapping, peak calling, motif finding, and pathway analysis results are also provided in CSA. For the different types of ChIP-seq datasets, CSA can provide the corresponding tool to perform the analysis. Moreover, CSA can detect differences in ChIP signals between ChIP samples and controls to identify absolute binding sites. Conclusions: the two case studies demonstrate the effectiveness of CSA, which can complete the whole procedure of ChIP-seq analysis. CSA provides a web interface for users, and implements the visualization of every analysis step. the website of CSA is available at http://***.

关键词： ChIP-seq Quality control Peak calling Downstream analysis visualization

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DBScan and WrapDBScan methods applying for intellectual variance analysis in employee's moving 14

DBScan and WrapDBScan methods applying for intellectual vari...

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14th International symposium on Intelligent Systems

作者： Savenkov, P. A. Ivutin, A. N. Tula State Univ Dept Comp Technol Tula Russia

this article discusses the development of mathematical support and software for detecting anomalous behavior of users based on biometric characteristics of their behavior analysis. One of the challenges in intelligent UBA systems is acquisition of useful information from a large volumes of unstructured, unmatched data. Methods and algorithms of intelligent data processing and machine learning used in UBA/DSS systems help to work on a task of solving problems of data analysis of different directivities. It is proposed an application of machine learning methods in implementation of mobile UBA system. there was formed the list of the most significant factors submitted to the input of the analyzing methods during the study. Two approaches of detecting abnormal user behavior have been proposed. the application of machine learning techniques in intelligent UBA systems will make it possible to predict information risks and insider excfiltration of these organizations in advance. (C) 2021 the Authors. Published by Elsevier B.V.

关键词： DLP UBA big data datascience dachine learning DBSCAN

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Hierarchical analysis of GSM network performance data 14

Hierarchical analysis of GSM network performance data

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14th European symposium on Artificial Neural Networks, ESANN 2006

作者： Multanen, Mikko Raivio, Kimmo Lehtimäki, Pasi Helsinki University of Technology Laboratory of Computer and Information Science HUT P.O. Box 5400 FI-02015 Finland

ISBN: (纸本)2930307064

In this study, a method for hierarchical examination and visualization of GSM data using the Self-Organizing Map (SOM) is described. the data is examined in few phases. At first temporally averaged data is used and then, in each phase some of the data is discarded and the rest is examined in more detail. the SOM is used both in clustering and in visualization. the actual clustering is performed to the nodes of the SOM to lower the computational cost and to help to understand better the properties of the clusters. © 2006 *** publication. All rights reserved.

关键词： Self organizing maps

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Knowledge-based system approach for scientific data analysis and the notion of metadata

Knowledge-based system approach for scientific data analysis...

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Proceedings of the 1995 14th IEEE symposium on Mass Storage Systems

作者： Kapetanios, Epaminondas Kramer, Ralf Research Cent Karlsruhe-Technology and Environment Germany

Over the last few years, dramatic increases and advances in mass storage for both secondary and tertiary storage made possible the handling of big amounts of data (for example, satellite data, complex scientific experiments, and so on). However, to the full use of these advances, metadata for data analysis and interpretation, as well as the complexity of managing and accessing large datasets through intelligent and efficient methods, are still considered to be the main challenges to the information-science community when dealing with large databases. Scientific data must be analyzed and interpreted by metadata, which has a descriptive role for the underlying data. Metadata can be, partly, a priori definable according to the domain of discourse under consideration (for example, atmospheric chemistry) and the conceptualization of the information system to be built. It may also be extracted by using learning methods from time-series measurement and observation data. In this paper, a knowledge-based management system (KBMS) is presented for the extraction and management of metadata in order to bridge the gap between data and information. the KBMS is a component of an intelligent information system based upon a federated architecture, also including a database management system for time-series-oriented data and a visualization system.

关键词： data storage equipment

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Breaking the Curse of Visual data Exploration: Improving Analyses by Building Bridges between data World and Real World 10

Breaking the Curse of Visual Data Exploration: Improving Ana...

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14th International Joint Conference on Computer Vision, Imaging and Computer Graphics theory and Applications (VISIGRAPP) / 10th International Conference on Information visualization theory and Applications (IVAPP)

作者： Kraus, Matthias Weiler, Niklas Breitkreutz, thorsten Keim, Daniel A. Stein, Manuel Univ Konstanz Data Anal & Visualizat Constance Germany

ISBN: (纸本)9789897583544

Visual data exploration is a useful means to extract relevant information from large sets of data. the visual analytics pipeline processes data recorded from the real world to extract knowledge from gathered data. Subsequently, the resulting knowledge is associated with the real world and applied to it. However, the considered data for the analysis is usually only a small fraction of the actual real-world data and lacks above all in context information. It can easily happen that crucial context information is disregarded, leading to false conclusions about the real world. therefore, conclusions and reasoning based on the analysis of this data pertain to the world represented by the data, and may not be valid for the real world. the purpose of this paper is to raise awareness of this discrepancy between the data world and the real world which has a high impact on the validity of analysis results in the real world. We propose two strategies which help to identify and remove specific differences between the data world and the real world. the usefulness and applicability of our strategies are demonstrated via several use cases.

关键词： visualization theory Uncertainty Validation Visual Analytics

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data analytics with mlv-viewer 14

Data analytics with mlv-viewer

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14th IADIS International Conference Interfaces and Human Computer Interaction 2020, IHCI 2020 and 13th IADIS International Conference Game and Entertainment Technologies 2020, GET 2020, Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020

作者： Alves, Carlos Manuel Oliveira Cota, Manuel Pérez Castro, Miguel Ramón González Instituto Politécnico de Castelo Branco Av. D. Pedro Álvares Cabral 12 Castelo Branco6000 Portugal Universidade de Vigo Rúa Torrecedeira 86 Vigo36208 Spain

ISBN: (纸本)9789898704207

Information visualization is defined as interactive visual representations supported by the computer, in order to increase cognition. the tools and methods applied can help to accelerate the understanding of a large volume of data, improving understanding, especially with multidimensional data sets. Visual analysis methods allow decision makers to combine flexibility, creativity and human knowledge with the enormous storage and processing resources of today's computers to gain insight into complex problems. If we add data mining to advanced visual interfaces, decision makers will be able to interact directly with data analysis, adapting to their tastes and needs. the MLV-Viewer is a decision support system, and its data analytics aspect will be described in this article. © Proceedings of the 14th IADIS International Conference Interfaces and Human Computer Interaction 2020, IHCI 2020 and Proceedings of the 13th IADIS International Conference Game and Entertainment Technologies 2020, GET 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. All rights reserved.

关键词： Big data

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ASPECTS OF QUALITY ASSURANCE WIthIN thE INDUSTRIAL thERMAL-analysis LABORATORY

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thERMOCHIMICA ACTA 1995年第1期256卷 1-8页

作者： WILLCOCKS, PH ICI Materials Wilton Research Centre P.O. Box 90 Wilton Middlesbrough Cleveland TS90 8JE UK

the use of thermal analysis as part of the quality systems in industry can be effective only if the techniques are made to conform to high standards of quality assurance. Achieving the high standards required is not always straightforward and there are a large number of potential and unresolved problems. Fundamental aspects which have to be considered include limitations due to instrument design, computerised control and analysis, validation of data and the overall requirements of, or conformance to, international quality programmes.

关键词： CALIBRATION QUALITY ASSURANCE QUALITY CONTROL STANDARDIZATION TA TMA

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Work-centered visual analytics to support multidisciplinary design analysis and optimization 12

Work-centered visual analytics to support multidisciplinary ...

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12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary analysis and Optimization Conference

作者： Yan, Xin Mu, Qiao Simpson, Timothy W. Li, Jia Zhang, Xiaolong College of Information Sciences and Technology The Pennsylvania State University University Park PA 16802 United States Department of Computer Science and Engineering The Pennsylvania State University University Park PA 16802 United States Department of Mechanical and Industrial Engineering The Pennsylvania State University University Park PA 16802 United States Department of Statistics The Pennsylvania State University University Park PA 16802 United States

ISBN: (数字)9781600869303

ISBN: (纸本)9781600869303

Information overload has become a notable problem in many multidisciplinary design optimization analyses. When dealing with large design datasets, engineering designers can quickly become overwhelmed by the data, solutions, and their relationship. this paper presents a work-centered visual analytics framework to address such challenges. the proposed framework integrates user-centered interactive visualization and data-oriented computational algorithms into two analytical loops to help designers perform in-depth analysis on a trade space. An application system prototype, LIVE, has been developed to support multidisciplinary design optimization. the proposed system allows designers to analyze data, discover patterns, and formalize preferences in a uniform and integrated software platform by combining visualization and data mining. this approach is expected to help designers efficiently making sense of complicated multi-dimensional design data sets.

关键词： visualization

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Multimodal Interaction for data visualization 18

Multimodal Interaction for Data Visualization

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14th International Conference on Advanced Visual Interfaces (AVI)

作者： Lee, Bongshin Srinivasan, Arjun Stasko, John Tory, Melanie Setlur, Vidya Microsoft Res Redmond WA 98052 USA Georgia Inst Technol Atlanta GA 30332 USA Tableau Software Palo Alto CA USA

ISBN: (纸本)9781450356169

Multimodal interaction offers many potential benefits for data visualization. It can help people stay in the flow of their visual analysis and presentation, with the strengths of one interaction modality offsetting the weaknesses of others. Furthermore, multimodal interaction offers strong promise for leveraging data visualization on diverse display hardware including mobile, AR/VR, and large displays. However, prior research on visualization and interaction techniques has mostly explored a single input modality such as mouse, touch, pen, or more recently, natural language. the unique challenges and opportunities of synergistic multimodal interaction for data visualization have yet to be investigated. this workshop will bring together researchers with expertise in visualization, interaction design, and natural user interfaces. We aim to build a community of researchers focusing on multimodal interaction for data visualization, explore opportunities and challenges in our research, and establish an agenda for multimodal interaction research specifically for data visualization.

关键词： data Visuallization Multimodal Interaction Interaction Design

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