Conferences related to Data Visualization

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2015 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of Parallel Processing.

  • 2013 IEEE International Symposium on Parallel & Distributed Processing (IPDPS)

    Parallel and distributed algorithms, focusing on stability, scalability, and fault-tolerance. Applications of parallel and distributed computing, including web, peer-to-peer, cloud, grid, scientific, and mobile computing. Parallel and distributed architectures including instruction-level and thread-level parallelism; petascale and exascale systems designs. Parallel and distributed software, including parallel and multicore programming languages, compilers, runtime systems, operating systems, and middleware for grids and clouds.

  • 2011 IEEE International Parallel & Distributed Processing Symposium (IPDPS)

    IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of parallel computation. In addition to technical sessions of submitted paper presentations, the meeting offers workshops, tutorials, and commercial presentations & exhibits. IPDPS represents a unique international gathering of computer scientists from around the world.

  • 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS)


OCEANS 2014 - TAIPEI

The OCEANS conference covers all aspects of ocean engineering from physics aspects through development and operation of undersea vehicles and equipment.

  • OCEANS 2013 - NORWAY

    Ocean related technologies. Program includes tutorials, three days of technical papers and a concurrent exhibition. Student poster competition.

  • OCEANS 2012 - YEOSU

    The OCEANS conferences covers four days with tutorials, exhibits and three days of parallel tracks that address all aspects of oceanic engineering.

  • OCEANS 2011 - SPAIN

    All Oceans related technologies.

  • OCEANS 2010 IEEE - Sydney

  • OCEANS 2009 - EUROPE


2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)

The 11th International Content Based Multimedia Indexing Workshop is to bring together the various communities involved in all aspects of content-based multimedia indexing, retrieval, browsing and presentation.The conference will host invited keynote talks and regular, special and demo sessions with contributed research papers.


2013 35th International Conference on Information Technology Interfaces (ITI)

The ITI Conference is a scientific, multidisciplinary conference with the mission of fostering interaction among researchers within the broad framework of information and communication technology arena. Each year there is a special topic offered for the Conference. For the year 2013, the featured topic is: "Research and Education using Mobile and Social Networking: When, Where, and How".

  • 2012 34th International Conference on Information Technology Interfaces (ITI)

    The ITI Conference is a scientific, multidisciplinary conference with the mission of fostering interaction among researchers within the broad framework of information and communication technology arena. Each year there is a special topic offered for the Conference. For the year 2012, the featured topic is: "Academic and Business Collaboration: Innovative BI".

  • 2011 33rd International Conference on Information Technology Interfaces (ITI)

    The ITI Conference is a scientific, multidisciplinary conference with the mission of fostering interaction among researchers within the broad framework of information and communication technology arena. Each year there is a special topic offered for the Conference. For the year 2011, the featured topic is: " Statistics, Computing and IT in the Coming Decade".

  • 2010 32nd International Conference on Information Technology Interfaces (ITI)

    The ITI Conference is a scientific, multidisciplinary conference with the mission of fostering interaction among researchers within the broad framework of information and communication technology arena. Each year there is a special topic offered for the Conference. For the year 2010, the featured topic is: "Language Technologies: An Infrastructure for Information Society".


2013 IEEE International Conference on Intelligence and Security Informatics (ISI)

Intelligence and Security Informatics (ISI) research is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, and social and behavior studies as well as local, state, and federal law enforcement and intelligence experts, and information technology industry consultants and practitioners to support counterterrorism and homeland security missions of anticipation, interdiction, prevention, preparedness and response to terrorist acts. The annual IEEE International ISI Conference series was started in 2003. In 2013, the main conference themes are: Big Data, Emergent Threats and Decision-Making in Security Informatics. ISI 2013 will be organized in three main streams focusing on: Big Data in Security Informatics, Emergent Threats, Decision-Making in Security Informatics.

  • 2012 IEEE International Conference on Intelligence and Security Informatics (ISI 2012)

    Intelligence and Security Informatics (ISI) research is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, and social and behavior studies as well as local, state, and federal law enforcement and intelligence experts, and information technology industry consultants and practitioners, to support counter-terrorism and homeland security missions of anticipation, interdiction, prevention, preparedness and response to terrorist acts.

  • 2011 IEEE International Conference on Intelligence and Security Informatics (ISI 2011)

    Intelligence and Security Informatics (ISI) research is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies as well as local, state, and federal law enforcement and intelligence experts, and information technology industry consultants and practitioners to support counterterrorism and homeland security missions of anticipation, interdiction, prevention.

  • 2010 IEEE International Conference on Intelligence and Security Informatics (ISI 2010)

    Intelligence and Security Informatics (ISI) research is an interdisciplinary research field, involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, local, state, and federal law enforcement and intelligence experts, and information technology industry consultants and practitioners to support counterterrorism and homeland security s missions of anticipation, interdiction, prevention, preparedness and r

  • 2009 IEEE International Conference on Intelligence and Security Informatics (ISI 2009)

    This conference provides a forum for discussion among academic researchers, law enforcment at all levels, and the intelligence community on current research in intelligence and security informatics, which is the study of advanced information technologies and systems, computer science, and algorithms for national and international security-related applications.

  • 2008 IEEE International Conference on Intelligence and Security Informatics (ISI 2008)

    The study of the development and use of advanced information technologies and systems, computer science, and algorithms for national, international, and societal security-related applications, through an integrated technological, organizational, and policy based approach.

  • 2007 IEEE Intelligence and Security Informatics (ISI 2007)

    Informatics research has emerged as a key scientific discipline and applications domain supporting counterterrorism and homeland security's missions of anticipation, interdiction, prevention, preparedness and response to terrorist acts. ISI 2007 provides a forum for discussions among these vital communities: academic researchers (in information technologies, computer science, public policy, and social studies), local, state, and federal law enforcement and intelligence experts.


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Periodicals related to Data Visualization

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Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


Knowledge and Data Engineering, IEEE Transactions on

Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...


Visualization and Computer Graphics, IEEE Transactions on

Specific topics include, but are not limited to: a) visualization techniques and methodologies; b) visualization systems and software; c) volume visulaization; d) flow visualization; e) information visualization; f) multivariate visualization; g) modeling and surfaces; h) rendering techniques and methodologies; i) graphics systems and software; j) animation and simulation; k) user interfaces; l) virtual reality; m) visual programming and program visualization; ...



Most published Xplore authors for Data Visualization

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Xplore Articles related to Data Visualization

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User Interface Design as a Catalyst for Organisation Change

Mark Anderson; Max Gilbert 2015 IEEE 12th International Conference on e-Business Engineering, 2015

This paper presents a case study that explores the impact of a re-engineering project on a Small to Medium Enterprise in the United Kingdom as a means of delivering improved employee performance. In this paper, the link between the actions undertaken my teams of co-workers and the relationship with the environment provided by IT systems is considered. As an organization ...


Reconstruction of time-varying 3-D left-ventricular shape from multiview X-ray cineangiocardiograms

M. Moriyama; Y. Sato; H. Naito; M. Hanayama; T. Ueguchi; T. Harada; F. Yoshimoto; S. Tamura IEEE Transactions on Medical Imaging, 2002

This paper reports on the clinical application of a system for recovering the time-varying three-dimensional (3-D) left-ventricular (LV) shape from multiview X-ray cineangiocardiograms. Considering that X-ray cineangiocardiography is still commonly employed in clinical cardiology and computational costs for 3-D recovery and visualization are rapidly decreasing, it is meaningful to develop a clinically applicable system for 3-D LV shape recovery from ...


Scheduling multiple data visualization query workloads on a shared memory machine

H. Andrade; T. Kurc; A. Sussman; J. Saltz Proceedings 16th International Parallel and Distributed Processing Symposium, 2002

Query scheduling plays an important role when systems are faced with limited resources and high workloads. It becomes even more relevant for servers applying multiple query optimization techniques to batches of queries, in which portions of datasets as well as intermediate results are maintained in memory to speed up query evaluation. We present a dynamic query scheduling model based on ...


VisuaLinda: a framework for visualizing parallel Linda programs

H. Koike; T. Takada; T. Masui Proceedings. 1997 IEEE Symposium on Visual Languages (Cat. No.97TB100180), 1997

Describes the VisuaLinda system, which is an integration of a Linda server and a visualizer of parallel Linda programs. Since the visualization module is built into the Linda server, programmers do not need to put additional visualization primitives in their client programs in order to visualize the behavior of their programs. This framework significantly reduces the programmers' burden in debugging ...


A novel phylogenetic tree data visualization application for researchers

Shahzaib Tahir; Muhammad Tanvir Afzal 2014 Science and Information Conference, 2014

In this paper a graphical application has been presented that attempts to visualize the data stored in a database. A database can contain huge amounts of data but the inherent problem is that this data needs to be visualized to show interrelationships and interdependencies among data items. In this paper we have taken the database of a leading research journal ...


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Educational Resources on Data Visualization

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eLearning

User Interface Design as a Catalyst for Organisation Change

Mark Anderson; Max Gilbert 2015 IEEE 12th International Conference on e-Business Engineering, 2015

This paper presents a case study that explores the impact of a re-engineering project on a Small to Medium Enterprise in the United Kingdom as a means of delivering improved employee performance. In this paper, the link between the actions undertaken my teams of co-workers and the relationship with the environment provided by IT systems is considered. As an organization ...


Reconstruction of time-varying 3-D left-ventricular shape from multiview X-ray cineangiocardiograms

M. Moriyama; Y. Sato; H. Naito; M. Hanayama; T. Ueguchi; T. Harada; F. Yoshimoto; S. Tamura IEEE Transactions on Medical Imaging, 2002

This paper reports on the clinical application of a system for recovering the time-varying three-dimensional (3-D) left-ventricular (LV) shape from multiview X-ray cineangiocardiograms. Considering that X-ray cineangiocardiography is still commonly employed in clinical cardiology and computational costs for 3-D recovery and visualization are rapidly decreasing, it is meaningful to develop a clinically applicable system for 3-D LV shape recovery from ...


Scheduling multiple data visualization query workloads on a shared memory machine

H. Andrade; T. Kurc; A. Sussman; J. Saltz Proceedings 16th International Parallel and Distributed Processing Symposium, 2002

Query scheduling plays an important role when systems are faced with limited resources and high workloads. It becomes even more relevant for servers applying multiple query optimization techniques to batches of queries, in which portions of datasets as well as intermediate results are maintained in memory to speed up query evaluation. We present a dynamic query scheduling model based on ...


VisuaLinda: a framework for visualizing parallel Linda programs

H. Koike; T. Takada; T. Masui Proceedings. 1997 IEEE Symposium on Visual Languages (Cat. No.97TB100180), 1997

Describes the VisuaLinda system, which is an integration of a Linda server and a visualizer of parallel Linda programs. Since the visualization module is built into the Linda server, programmers do not need to put additional visualization primitives in their client programs in order to visualize the behavior of their programs. This framework significantly reduces the programmers' burden in debugging ...


A novel phylogenetic tree data visualization application for researchers

Shahzaib Tahir; Muhammad Tanvir Afzal 2014 Science and Information Conference, 2014

In this paper a graphical application has been presented that attempts to visualize the data stored in a database. A database can contain huge amounts of data but the inherent problem is that this data needs to be visualized to show interrelationships and interdependencies among data items. In this paper we have taken the database of a leading research journal ...


More eLearning Resources

IEEE-USA E-Books

  • Environmental Informatics for Integrated Solid Waste Management

    Environmental informatics is a highly interdisciplinary science, where synergistic efforts among environmental sciences, electronic engineering, and computer sciences can be signified and magnified in regard to data collection, data analysis, data evaluation, and data visualization using specific computational intelligence methodologies, networking and sensing, cyber infrastructure platforms, virtual reality and computer vision, and data science tools for solving environmental problems. This chapter focuses on the major categories of the environmental informatics methods and tools applied in integrated solid waste management (ISWM), from data collection through sensors and sensor networks, to data management through database design, and to data evaluation and assessment through geographical information systems (GIS), global positioning systems (GPS) and associated spatial analysis methods.

  • Data Visualization and HighDimensional Data Clustering

    This chapter contains sections titled: Introduction Linear Projection Algorithms Nonlinear Projection Algorithms Projected and Subspace Clustering Applications Summary

  • About the authors

    Today we are witnessing dramatic changes in the way scientific and scholarly knowledge is created, codified, and communicated. This transformation is connected to the use of digital technologies and the virtualization of knowledge. In this book, scholars from a range of disciplines consider just what, if anything, is new when knowledge is produced in new ways. Does knowledge itself change when the tools of knowledge acquisition, representation, and distribution become digital? Issues of knowledge creation and dissemination go beyond the development and use of new computational tools. The book, which draws on work from the Virtual Knowledge Studio, brings together research on scientific practice, infrastructure, and technology. Focusing on issues of digital scholarship in the humanities and social sciences, the contributors discuss who can be considered legitimate knowledge creators, the value of "invisible" labor, the role of data visualization in policy making, the visualization of uncertainty, the conceptualization of openness in scholarly communication, data floods in the social sciences, and how expectations about future research shape research practices. The contributors combine an appreciation of the transformative power of the virtual with a commitment to the empirical study of practice and use.

  • Index

    Today we are witnessing dramatic changes in the way scientific and scholarly knowledge is created, codified, and communicated. This transformation is connected to the use of digital technologies and the virtualization of knowledge. In this book, scholars from a range of disciplines consider just what, if anything, is new when knowledge is produced in new ways. Does knowledge itself change when the tools of knowledge acquisition, representation, and distribution become digital? Issues of knowledge creation and dissemination go beyond the development and use of new computational tools. The book, which draws on work from the Virtual Knowledge Studio, brings together research on scientific practice, infrastructure, and technology. Focusing on issues of digital scholarship in the humanities and social sciences, the contributors discuss who can be considered legitimate knowledge creators, the value of "invisible" labor, the role of data visualization in policy making, the visualization of uncertainty, the conceptualization of openness in scholarly communication, data floods in the social sciences, and how expectations about future research shape research practices. The contributors combine an appreciation of the transformative power of the virtual with a commitment to the empirical study of practice and use.

  • About the Author

    The ever-growing number of new telecommunications technologies, along with the rapid growth of data networks and cable television systems has created a demand for sound network planning. In one concise volume, this book offers professionals in telecommunications and networking and graduate students an introduction to the theory underlying the interdisciplinary field of network planning, a critical aspect of network management that integrates planning telecommunications and data networks. In PLANNING TELECOMMUNICATIONS NETWORKS you will learn about the mathematical theory behind network planning, including an accessible treatment of linear programming and graph algorithms. Other featured topics cover: Reliability theory for network planning Recent software advances in databases, expert systems, object-oriented programming, data mining and data visualization Latest developments in new optimization techniques such as tabu search, simulated annealing, genetic algorithms, and neural networks Complete with homework problems, this text offers you a broad overview of network planning to begin your exploration of this emerging field. Sponsored by: IEEE Communications Society. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

  • No title

    Our society has entered a data-driven era, one in which not only are enormous amounts of data being generated daily but there are also growing expectations placed on the analysis of this data. Some data have become simply too large to be displayed and some have too short a lifespan to be handled properly with classical visualization or analysis methods. In order to address these issues, this book explores the potential solutions where we not only visualize data, but also allow users to be able to interact with it. Therefore, this book will focus on two main topics: large dataset visualization and interaction. Graphic cards and their image processing power can leverage large data visualization but they can also be of great interest to support interaction. Therefore, this book will show how to take advantage of graphic card computation power with techniques called GPGPUs (general-purpose computing on graphics processing units). As specific examples, this book details GPGPU usages to pro uce fast enough visualization to be interactive with improved brushing techniques, fast animations between different data representations, and view simplifications (i.e. static and dynamic bundling techniques). Since data storage and memory limitation is less and less of an issue, we will also present techniques to reduce computation time by using memory as a new tool to solve computationally challenging problems. We will investigate innovative data processing techniques: while classical algorithms are expressed in data space (e.g. computation on geographic locations), we will express them in graphic space (e.g., raster map like a screen composed of pixels). This consists of two steps: (1) a data representation is built using straightforward visualization techniques; and (2) the resulting image undergoes purely graphical transformations using image processing techniques. This type of technique is called image-based visualization. The goal of this book is to explore new computing techn ques using image-based techniques to provide efficient visualizations and user interfaces for the exploration of large datasets. This book concentrates on the areas of information visualization, visual analytics, computer graphics, and human-computer interaction. This book opens up a whole field of study, including the scientific validation of these techniques, their limitations, and their generalizations to different types of datasets.

  • Adapting Materialized Views After Redefinitions

    We consider a variant of the view maintenance problem: How does one keep a materialized view up-to-date when the view definition itself changes? Can one do better than recomputing the view from the base relations? Traditional view maintenance tries to maintain the materialized view in response to modifications to the base relations; we try to "adapt" the view in response to changes in the view definition. Such techniques are needed for applications where the user can change queries dynamically and see the changes in the results fast. Data archaeology, data visualization, and dynamic queries are examples of such applications. We consider all possible redefinitions of SQL SELECT-FROM-WHERE-GROUPBY, UNION, and EXCEPT views, and show how these views can be adapted using the old materialization for the cases where it is possible to do so. We identify extra information that can be kept with a materialization to facilitate redefinition. Multiple simultaneous changes to a view can be handled without necessarily materializing intermediate results. We identify guidelines for users and database administrators that can be used to facilitate efficient view adaptation.

  • Other Vital Aspects of Successful Network Modeling and Simulation

    This chapter contains sections titled: Verification and Validation Data Visualization and Interpretation

  • Index

    The ever-growing number of new telecommunications technologies, along with the rapid growth of data networks and cable television systems has created a demand for sound network planning. In one concise volume, this book offers professionals in telecommunications and networking and graduate students an introduction to the theory underlying the interdisciplinary field of network planning, a critical aspect of network management that integrates planning telecommunications and data networks. In PLANNING TELECOMMUNICATIONS NETWORKS you will learn about the mathematical theory behind network planning, including an accessible treatment of linear programming and graph algorithms. Other featured topics cover: Reliability theory for network planning Recent software advances in databases, expert systems, object-oriented programming, data mining and data visualization Latest developments in new optimization techniques such as tabu search, simulated annealing, genetic algorithms, and neural networks Complete with homework problems, this text offers you a broad overview of network planning to begin your exploration of this emerging field. Sponsored by: IEEE Communications Society. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

  • No title

    This book is the third of a three-part series on taxonomies, and covers putting your taxonomy into use in as many ways as possible to maximize retrieval for your users. Chapter 1 suggests several items to research and consider before you start your implementation and integration process. It explores the different pieces of software that you will need for your system and what features to look for in each. Chapter 2 launches with a discussion of how taxonomy terms can be used within a workflow, connecting two--or more-- taxonomies, and intelligent coordination of platforms and taxonomies. Microsoft SharePoint is a widely used and popular program, and I consider their use of taxonomies in this chapter. Following that is a discussion of taxonomies and semantic integration and then the relationship between indexing and the hierarchy of a taxonomy. Chapter 3 ("How is a Taxonomy Connected to Search?") provides discussions and examples of putting taxonomies into use i practical applications. It discusses displaying content based on search, how taxonomy is connected to search, using a taxonomy to guide a searcher, tools for search, including search engines, crawlers and spiders, and search software, the parts of a search-capable system, and then how to assemble that search-capable system. This chapter also examines how to measure quality in search, the different kinds of search, and theories on search from several famous theoreticians--two from the 18th and 19th centuries, and two contemporary. Following that is a section on inverted files, parsing, discovery, and clustering. While you probably don't need a comprehensive understanding of these concepts to build a solid, workable system, enough information is provided for the reader to see how they fit into the overall scheme. This chapter concludes with a look at faceted search and some possibilities for search interfaces. Chapter 4, "Implementing a Taxonomy in a Database or on Website," starts where many content systems really should--with the authors, or at least the people who create the content. This chapter discusses matching up various groups of related data to form connections, data visualization and text analytics, and mobile and e-commerce applications for taxonomies. Finally, Chapter 5 presents some educated guesses about the future of knowledge organization. Table of Contents: List of Figures / Preface / Acknowledgments / On Your Mark, Get Ready …. WAIT! Things to Know Before You Start the Implementation Step / Taxonomy and Thesaurus Implementation / How is a Taxonomy Connected to Search? / Implementing a Taxonomy in a Database or on a Website / What Lies Ahead for Knowledge Organization? / Glossary / End Notes / Author Biography



Standards related to Data Visualization

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Jobs related to Data Visualization

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