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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A Shadow Based Method for Image to Model Registration

A. J. Troccoli; P. K. Allen 2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004

This paper presents a novel method for 2D to 3D texture mapping using shadows as cues. This work is part of a larger set of methods that address the entire 3D modeling pipeline to create geometrically and photometrically accurate models using a variety of data sources. The focus is on building models of large outdoor, urban, historic and archaeological sites. ...


Visualizing software release histories with 3DSoftVis

C. Riva Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium, 2000

This paper briefly introduces a 3D visualization tool (3DSoftVis) that has been developed for the analysis of the evolution of an industrial software system.


Temporal Cluster Migration Matrices for Web Usage Mining

P. Lingras; M. Hogo; M. Snorek Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on, 2004

Time can play a crucial role in the analysis of web usage. Temporal data mining has been an active area of research. However, there is little work on the analysis of cluster memberships over time. Typical clustering operations in web mining involve finding natural groupings of web resources or web users. Changes in clusters can provide important clues about the ...


A Visualization Tool for Learning Statistical Analysis in Multi Tabular Datasets

Kamasan Vaishnavi; Ashwin Kannan; David Cline; Ronak Etemadpour 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), 2016

The ability of the human mind to perceive visual informationmakes visualization not only useful, but a powerful toolfor information discovery. Answering questions about complexrelationships requires the analyst to choose a statistical analysistechnique that makes relationships visually discernible. Oftenthe proper technique is dependent on the characteristics of thedataset, such as dependency among variables, sample size, andtypes of data (ordinal or categorical). ...


A Systematic Approach to Visualize Blogs Network Based on Clustering

Jing Gao; Wei Lai 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, 2009

The blogshpere is a huge community which contains lots of groups which are formed based on different purpose, such as interest based, working based and company based. People always urge to find these kinds of groups to gain related information. Having this idea, we propose a clustering based visualization interface using keywords graph to contribute special techniques for exploring those ...


More Xplore Articles

Educational Resources on Data Visualization

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eLearning

A Shadow Based Method for Image to Model Registration

A. J. Troccoli; P. K. Allen 2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004

This paper presents a novel method for 2D to 3D texture mapping using shadows as cues. This work is part of a larger set of methods that address the entire 3D modeling pipeline to create geometrically and photometrically accurate models using a variety of data sources. The focus is on building models of large outdoor, urban, historic and archaeological sites. ...


Visualizing software release histories with 3DSoftVis

C. Riva Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium, 2000

This paper briefly introduces a 3D visualization tool (3DSoftVis) that has been developed for the analysis of the evolution of an industrial software system.


Temporal Cluster Migration Matrices for Web Usage Mining

P. Lingras; M. Hogo; M. Snorek Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on, 2004

Time can play a crucial role in the analysis of web usage. Temporal data mining has been an active area of research. However, there is little work on the analysis of cluster memberships over time. Typical clustering operations in web mining involve finding natural groupings of web resources or web users. Changes in clusters can provide important clues about the ...


A Visualization Tool for Learning Statistical Analysis in Multi Tabular Datasets

Kamasan Vaishnavi; Ashwin Kannan; David Cline; Ronak Etemadpour 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), 2016

The ability of the human mind to perceive visual informationmakes visualization not only useful, but a powerful toolfor information discovery. Answering questions about complexrelationships requires the analyst to choose a statistical analysistechnique that makes relationships visually discernible. Oftenthe proper technique is dependent on the characteristics of thedataset, such as dependency among variables, sample size, andtypes of data (ordinal or categorical). ...


A Systematic Approach to Visualize Blogs Network Based on Clustering

Jing Gao; Wei Lai 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, 2009

The blogshpere is a huge community which contains lots of groups which are formed based on different purpose, such as interest based, working based and company based. People always urge to find these kinds of groups to gain related information. Having this idea, we propose a clustering based visualization interface using keywords graph to contribute special techniques for exploring those ...


More eLearning Resources

IEEE-USA E-Books

  • The World at One's Fingertips: Interactive Interpretation of Environmental Data

    This chapter discusses the current practices and emerging new methods of environmental data visualization, exploration, and intercomparison in the particular context of the fluid earth sciences, namely meteorology, oceanography, and climate science. The discussion is also highly relevant to other areas of study of the Earth system, particularly where large, multidimensional datasets are involved. The chapter begins by providing an overview of the many varieties of data with which scientists must get to grips, and the characteristics and capabilities of the tools that are in current common use. It describes the current state of informatics and infrastructure that underpin current tools and methods. It also explains some new approaches in the form of specific software applications and infrastructures, ranging in complexity from visualization-only systems to those that support quantitative processing and intercomparison, highlighting the scientific applications and the recent technological advances that have enabled them.

  • 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

    In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like "How did our sales perform during the last quarter?" A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like "How are we doing right now?" Today the focus of BI users are looking into the future. "Given what I did before and how I am currently doing this quarter, how will I do next quarter?" Furthermore, fuelled by the demands of Big Data, BI systems are going through a time of incredible change. Predictive analytics, high volume data, unstructured data, social data, mobile, consumable analytics, and data visualization are all examples of demands and capabilities that have become critical within just the past few years, and are growing at an unprecedented pace. This book introduces research problems and solu ions on various aspects central to next-generation BI systems. It begins with a chapter on an industry perspective on how BI has evolved, and discusses how game-changing trends have drastically reshaped the landscape of BI. One of the game changers is the shift toward the consumerization of BI tools. As a result, for BI tools to be successfully used by business users (rather than IT departments), the tools need a business model, rather than a data model. One chapter of the book surveys four different types of business modeling. However, even with the existence of a business model for users to express queries, the data that can meet the needs are still captured within a data model. The next chapter on vivification addresses the problem of closing the gap, which is often significant, between the business and the data models. Moreover, Big Data forces BI systems to integrate and consolidate multiple, and often wildly different, data sources. One chapter gives an overview of several integ ation architectures for dealing with the challenges that need to be overcome. While the book so far focuses on the usual structured relational data, the remaining chapters turn to unstructured data, an ever-increasing and important component of Big Data. One chapter on information extraction describes methods for dealing with the extraction of relations from free text and the web. Finally, BI users need tools to visualize and interpret new and complex types of information in a way that is compelling, intuitive, but accurate. The last chapter gives an overview of information visualization for decision support and text.

  • Bibliography

    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.

  • 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.

  • Applications of Materialized Views

    This chapter contains sections titled: Introduction, Fast Access, Lower CPU and Disk Load, Data Warehousing, Data Replication, Data Visualization, Mobile Systems, Switching Software, Network Management, Chronicle Systems in Banking and Billing, Distributed CD-ROM Services, Advanced Messaging Services, Data Pumping, Query Optimization, Integrity Constraint Checking, Distributed Situation Monitoring

  • Data Visualization and HighDimensional Data Clustering

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

  • 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.

  • 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.

  • 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.



Standards related to Data Visualization

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No standards are currently tagged "Data Visualization"