Conferences related to Data Management

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OCEANS 2016

The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.

  • OCEANS 2015 - MTS/IEEE Washington

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2014

    The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2013

    Three days of 8-10 tracks of technical sessions (400-450 papers) and concurent exhibition (150-250 exhibitors)

  • OCEANS 2012

    Ocean related technology. Tutorials and three days of technical sessions and exhibits. 8-12 parallel technical tracks.

  • OCEANS 2011

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2010

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2009

  • OCEANS 2008

    The Marine Technology Society (MTS) and the Oceanic Engineering Society (OES) of the Institute of Electrical and Electronic Engineers (IEEE) cosponsor a joint conference and exposition on ocean science, engineering, education, and policy. Held annually in the fall, it has become a focal point for the ocean and marine community to meet, learn, and exhibit products and services. The conference includes technical sessions, workshops, student poster sessions, job fairs, tutorials and a large exhibit.

  • OCEANS 2007

  • OCEANS 2006

  • OCEANS 2005


2014 IEEE Semiconductor Wafer Test Workshop (SWTW 2014)

The IEEE SW Test Workshop is the only workshop specializing in semiconductor wafer level testing. It has a comprehensive technical program that is comnplemented by social activities which promote networking and sharing among the attendees. Booth displays at SWTW provide attendees with a one -stop opportunity to meet in person with all the key suppiers and learn about their new products and services.

  • 2013 IEEE Semiconductor Wafer Test Workshop (SWTW 2013)

    The IEEE SW Test Workshop is the only workshop specializing in semiconductor wafer level testing. It has a comprehensive technical program that is complemented by social activities which promote networking and sharing among the attendees. Booth displays at SWTW provide attendees with a on-stop opportunity to meet firsthand with all the key suppliers and learn about their new products and services.

  • 2012 IEEE Semiconductor Wafer Test Workshop (SWTW 2012)

    The IEEE SW Test Workshop is the only workshop specializing in semiconductor wafer level testing. It has a comprehensive technical program that is complemented by social activities which promote networking and sharing among the attendees. Booth displays at SWTW provide attendees with a on-stop opportunity to meet firsthand with all the key suppliers and learn about their new products and services.

  • 2011 IEEE Semiconductor Wafer Test Workshop (SWTW 2011)

    The IEEE SW Test Workshop is the only workshop specializing in semiconductor wafer level testing. It has a comprehensive technical program that is complemented by social activities which promote networking and sharing amoung attendees. Exhibit booth displays at SWTW provide attendees with a one-stop opportunity to meet firsthand with all key suppliers and learn about their new products and services.

  • 2010 IEEE Semiconductor Wafer Test Workshop (SWTW 2010)

    The IEEE SW Test Workshop is the only workshop specializing in semiconductor wafer level testing. It has a comprehensive technical program that is complemented by social activities which promote networking and sharing among the attendees. Booth displays at SWTW provide attendees with a one-stop opportunity to meet firsthand with all the key suppliers and learn about their new products and services.

  • 2009 IEEE Semiconductor Wafer Test Workshop (SWTW 2009)

    The IEEE SW Test Workshop is the only workshop specializing in semiconductor wafer level testing. It has a comprehensive technical program that is complemented by social activities which promote networking and sharing among the attendees. Booth displays at SWTW provide attendees with a one-stop opportunity to meet fi rsthand with all the key suppliers and learn about their new products and services.

  • 2008 IEEE Semiconductor Wafer Test Workshop (SWTW 2008)

    The SW Test Workshop is the only IEEE sponsored conference dealing with all aspects of semiconductor wafer and die level probe testing.


2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

The conference features two interleaved tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track.

  • 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)

    IPSN includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, and embedded systems design.

  • 2011 10th International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on sensor network research. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research.

  • 2010 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on sensor network research. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research.

  • 2009 8th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

    The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum that brings together researchers from academia, industry, and government to present and discuss recent advances in sensor network research and applications. The conference covers both theoretical and experimental research, as it pertains to sensor networks, in a broad range of disciplines including signal and image processing, information and coding theory, databases and information mana


2013 Eighth International Conference on Digital Information Management (ICDIM)

The principal aim of this conference is to bring people in academia, research laboratories and industry together, and offer a collaborative platform to address the emerging issues and solutions in digital information science and technology. The ICDIM intends to bridge the gap between different areas of digital information management, science and technology.

  • 2012 Seventh International Conference on Digital Information Management (ICDIM)

    The principal aim of this conference is to bring people in academia, research laboratories and industry together, and offer a collaborative platform to address the emerging issues and solutions in digital information science and technology.

  • 2011 Sixth International Conference on Digital Information Management (ICDIM)

    The ICDIM 2011 is a forum of academic and industrial researchers and scientists in digital information management and technology. It addresses the research in significant areas of information management, database management, and process management.

  • 2010 Fifth International Conference on Digital Information Management (ICDIM)

    The International Conference on Digital Information Management is a multidisciplinary conference on digital information management, science and technology.

  • 2009 Fourth International Conference on Digital Information Management (ICDIM)

    he principal aim of this conference is to bring people in academia, research laboratories and industry and offer a collaborative platform to address the emerging issues and solutions in digital information science and technology. The ICDIM intends to bridge the gap between different areas of digital information management, science and technology. This forum will address a large number of themes and issues. The conference will have original research and industrial papers on the theory, design and implementat

  • 2008 Third International Conference on Digital Information Management (ICDIM)

    The International Conference on Digital Information Management is a multidisciplinary conference on digital information management, science and technology. The principal aim of this conference is to bring people in academia, research laboratories and industry and offer a collaborative platform to address the emerging issues and solutions in digital information science and technology. The ICDIM intends to bridge the gap between different areas of digital information management, science and technology. This f


2013 IEEE International Conference on Data Engineering (ICDE 2013)

The annual IEEE International Conference on Data Engineering (ICDE) addresses research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences.


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Periodicals related to Data Management

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Engineering Management Review, IEEE

Reprints articles from other publications of significant interest to members. The papers are aimed at those engaged in managing research, development, or engineering activities. Reprints make it possible for the readers to receive the best of today's literature without having to subscribe to and read other periodicals.


Engineering Management, IEEE Transactions on

Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.


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 ...


Potentials, IEEE

This award-winning magazine for technology professionals explores career strategies, the latest research and important technical developments. IEEE Potentials covers theories to practical applications and highlights technology's global impact.


Proceedings of the IEEE

The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics. This journal also holds the distinction of having the longest useful archival life of any EE or computer related journal in the world! Since 1913, the Proceedings of the IEEE has been the ...


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Most published Xplore authors for Data Management

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Xplore Articles related to Data Management

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Business-driven ontology evolution mechanism for enterprise data management

Jiahong Wu; Hongming Cai; Lihong Jiang 2010 IEEE International Conference on Systems, Man and Cybernetics, 2010

With rising accumulation of data and applications in enterprise IT environment, the business data management becomes increasingly important. But the data in the IT environment is usually organized by static modeling, which could not meet the business changes need. In our study the enterprise ontology is adopted as conception backbone to model for the business scenario, and the use of ...


Demonstration of Policy-Guided Data Preservation Using iRODS

Mike Conway; Reagan Moore; Arcot Rajasekar; Jean-Yves Nief 2011 IEEE International Symposium on Policies for Distributed Systems and Networks, 2011

Policy-oriented data management is an emerging field that provides automation of large collection management using policies encoded as machine-executable rules. Digital archives provide long term preservation of collections that can span decades across multiple technology refreshes. Policy-based data management is critical for digital archives because of the need to maintain integrity across long spans of time. The management of preservation ...


International Workshop on Ubiquitous Data Management - Title Page

International Workshop on Ubiquitous Data Management, 2005

Conference proceedings title page.


Application study of product data management practices in medium-sized manufacturing company

Cai Chi-lan; Bai Yue-wei; Xia Yan-chun; Wang Xiao-gang; Liu Kai 2010 2nd International Conference on Industrial and Information Systems, 2010

This paper studies a practical example of product data management (PDM) in a medium-sized manufacturing company in China. In PDM practices, some issues are common in all company because they are independent of the problems to be solved. However in PDM practices there are some issues relying on the specific operations, products and organizational state in different company. In this ...


Proceedings Fourth International Conference on Web Information Systems Engineering Workshops

Fourth International Conference on Web Information Systems Engineering Workshops, 2003. Proceedings., 2003

Cover of the Proceedings of the Fourth International Conference on Web Information Systems Engineering Workshops.


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Educational Resources on Data Management

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eLearning

Business-driven ontology evolution mechanism for enterprise data management

Jiahong Wu; Hongming Cai; Lihong Jiang 2010 IEEE International Conference on Systems, Man and Cybernetics, 2010

With rising accumulation of data and applications in enterprise IT environment, the business data management becomes increasingly important. But the data in the IT environment is usually organized by static modeling, which could not meet the business changes need. In our study the enterprise ontology is adopted as conception backbone to model for the business scenario, and the use of ...


Demonstration of Policy-Guided Data Preservation Using iRODS

Mike Conway; Reagan Moore; Arcot Rajasekar; Jean-Yves Nief 2011 IEEE International Symposium on Policies for Distributed Systems and Networks, 2011

Policy-oriented data management is an emerging field that provides automation of large collection management using policies encoded as machine-executable rules. Digital archives provide long term preservation of collections that can span decades across multiple technology refreshes. Policy-based data management is critical for digital archives because of the need to maintain integrity across long spans of time. The management of preservation ...


International Workshop on Ubiquitous Data Management - Title Page

International Workshop on Ubiquitous Data Management, 2005

Conference proceedings title page.


Application study of product data management practices in medium-sized manufacturing company

Cai Chi-lan; Bai Yue-wei; Xia Yan-chun; Wang Xiao-gang; Liu Kai 2010 2nd International Conference on Industrial and Information Systems, 2010

This paper studies a practical example of product data management (PDM) in a medium-sized manufacturing company in China. In PDM practices, some issues are common in all company because they are independent of the problems to be solved. However in PDM practices there are some issues relying on the specific operations, products and organizational state in different company. In this ...


Proceedings Fourth International Conference on Web Information Systems Engineering Workshops

Fourth International Conference on Web Information Systems Engineering Workshops, 2003. Proceedings., 2003

Cover of the Proceedings of the Fourth International Conference on Web Information Systems Engineering Workshops.


More eLearning Resources

IEEE.tv Videos

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IEEE-USA E-Books

  • Interactomics

    This chapter contains sections titled: Interactomics and Omics Sciences Genomics and Proteomics Representation and Management of Protein Interaction Data Analysis of Protein Interaction Networks Visualization of Protein Interaction Networks Models for Biological Networks Flow of Information in Interactomics Applications of Interactomics in Biology and Medicine Summary

  • Data Undermining: Data Relationality and Networked Experience

    This chapter contains sections titled: Databases and the cognitive labor of data management, Data as relation of relations, The perceptible and imperceptibility, A selective genealogy of data mining, Relational data aesthetics after the relational networking of data, Becoming imperceptible in an age of perceptibility, Becoming imperceptible in an age of imperceptibility

  • Technologies for Discovering Protein Interactions

    This chapter contains sections titled: Introduction Techniques Investigating Physical Interactions Technologies Investigating Kinetic Dynamics Summary

  • Authentication

    The field of cryptography has experienced an unprecedented development in the past decade and the contributors to this book have been in the forefront of these developments. In an information-intensive society, it is essential to devise means to accomplish, with information alone, every function that it has been possible to achieve in the past with documents, personal control, and legal protocols (secrecy, signatures, witnessing, dating, certification of receipt and/or origination). This volume focuses on all these needs, covering all aspects of the science of information integrity, with an emphasis on the cryptographic elements of the subject. In addition to being an introductory guide and survey of all the latest developments, this book provides the engineer and scientist with algorithms, protocols, and applications. Of interest to computer scientists, communications engineers, data management specialists, cryptographers, mathematicians, security specialists, network engineers.

  • No title

    While many Web 2.0-inspired approaches to semantic content authoring do acknowledge motivation and incentives as the main drivers of user involvement, the amount of useful human contributions actually available will always remain a scarce resource. Complementarily, there are aspects of semantic content authoring in which automatic techniques have proven to perform reliably, and the added value of human (and collective) intelligence is often a question of cost and timing. The challenge that this book attempts to tackle is how these two approaches (machine- and human-driven computation) could be combined in order to improve the cost-performance ratio of creating, managing, and meaningfully using semantic content. To do so, we need to first understand how theories and practices from social sciences and economics about user behavior and incentives could be applied to semantic content authoring. We will introduce a methodology to help software designers to embed incentives-minded functiona ities into semantic applications, as well as best practices and guidelines. We will present several examples of such applications, addressing tasks such as ontology management, media annotation, and information extraction, which have been built with these considerations in mind. These examples illustrate key design issues of incentivized Semantic Web applications that might have a significant effect on the success and sustainable development of the applications: the suitability of the task and knowledge domain to the intended audience, and the mechanisms set up to ensure high-quality contributions, and extensive user involvement. Table of Contents: Semantic Data Management: A Human-driven Process / Fundamentals of Motivation and Incentives / Case Study: Motivating Employees to Annotate Content / Case Study: Building a Community of Practice Around Web Service Management and Annotation / Case Study: Games with a Purpose for Semantic Content Creation / Conclusions

  • No title

    Data quality is one of the most important problems in data management. A database system typically aims to support the creation, maintenance, and use of large amount of data, focusing on the quantity of data. However, real-life data are often dirty: inconsistent, duplicated, inaccurate, incomplete, or stale. Dirty data in a database routinely generate misleading or biased analytical results and decisions, and lead to loss of revenues, credibility and customers. With this comes the need for data quality management. In contrast to traditional data management tasks, data quality management enables the detection and correction of errors in the data, syntactic or semantic, in order to improve the quality of the data and hence, add value to business processes. While data quality has been a longstanding problem for decades, the prevalent use of the Web has increased the risks, on an unprecedented scale, of creating and propagating dirty data. This monograph gives an overview of fundamental i sues underlying central aspects of data quality, namely, data consistency, data deduplication, data accuracy, data currency, and information completeness. We promote a uniform logical framework for dealing with these issues, based on data quality rules. The text is organized into seven chapters, focusing on relational data. Chapter One introduces data quality issues. A conditional dependency theory is developed in Chapter Two, for capturing data inconsistencies. It is followed by practical techniques in Chapter 2b for discovering conditional dependencies, and for detecting inconsistencies and repairing data based on conditional dependencies. Matching dependencies are introduced in Chapter Three, as matching rules for data deduplication. A theory of relative information completeness is studied in Chapter Four, revising the classical Closed World Assumption and the Open World Assumption, to characterize incomplete information in the real world. A data currency model is presented in Chap er Five, to identify the current values of entities in a database and to answer queries with the current values, in the absence of reliable timestamps. Finally, interactions between these data quality issues are explored in Chapter Six. Important theoretical results and practical algorithms are covered, but formal proofs are omitted. The bibliographical notes contain pointers to papers in which the results were presented and proven, as well as references to materials for further reading. This text is intended for a seminar course at the graduate level. It is also to serve as a useful resource for researchers and practitioners who are interested in the study of data quality. The fundamental research on data quality draws on several areas, including mathematical logic, computational complexity and database theory. It has raised as many questions as it has answered, and is a rich source of questions and vitality. Table of Contents: Data Quality: An Overview / Conditional Dependencies / C eaning Data with Conditional Dependencies / Data Deduplication / Information Completeness / Data Currency / Interactions between Data Quality Issues

  • Graph Theory and Applications

    This chapter contains sections titled: Introduction Graph Data Structures Graph-Based Problems and Algorithms 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.

  • Master Data Services

    This chapter provides a detailed architectural pattern for designing and developing master data services (MDS) that can be reused across the enterprise by using common design components and standards. The use of service-oriented architecture (SOA) and data services can lend itself well to sharing master data across any enterprise. The MDS model proposed under the Data as a Service (DaaS) framework allows organizations to implement master data management (MDM) in a way that is independent of any specific implementation decision. The chapter evaluates a virtual approach to implement master data management (MDM) across organizations. It also discusses the benefits of decoupling business and technology dependencies by adopting a virtual approach to MDM. MDS is considered as an effective alternative to existing styles of MDM implementation. The chapter finally provides illustrative examples and a detailed case study on an MDS implementation at a large financial institution.

  • Protein-To-Protein Interaction Data

    This chapter contains sections titled: Introduction HUPO PSI-MI Summary



Standards related to Data Management

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Guide for Information Technology - Software Life Cycle Processes - Life Cycle Data

The base document ISO/IEC 12207, establishes a common framework for software life cycle processes, with well-defined terminology, that can be referenced by the software industry. It contains activities, and tasks that are to be applied during the acquisition of a system that contains software, a stand-alone software product, and software service and during the supply, development, operation, and maintenance of ...


IEEE Recommended Practice for the Transfer of Power Quality Data

This recommended practice will develop a criteria for the transfer of power quality data between instruments and computers. This data includes raw, processed, simulated, proposed, specified and calculated data. The transfer criteria will include the data as well as appropriate data characterization parameters, such as sampling rate, resolution, calibration status, instrument identification, and other pertinent or desired characteristics or data. ...


IEEE Standard for a Smart Transducer Interface for Sensors and Actuator -- Wireless Communication Protocols and Transducer Electronic Data Sheet (TEDS) Formats

This project establishes a standard for wireless communication methods and data format for transducers (sensors and actuators). The standard defines a TEDS based on the IEEE 1451 concept and protocols to access TEDS and transducer data. It adopts necessary wireless interfaces and protocols to facilitate the use of technically differentiated, existing wireless technology solutions. It does not specify transducer design, ...


IEEE Standard for a Smart Transducer Interface for Sensors and Actuators - Common Functions, Communication Protocols, and Transducer Electronic Data Sheet (TEDS) Formats

This project develops a set of common functionality for the family of IEEE 1451 smart transducer interface standards. This functionality is independent of the physical communications media. It includes the basic functions required to control and manage smart transducers, common communications protocols, and media-independent TEDS formats. It defines a set of implementation-independent APIs. This project does not specify signal conditioning ...


IEEE Standard for a Smart Transducer Interface for Sensors and Actuators - Digital Communication and Transducer Electronic Data Sheet (TEDS) Formats for Distributed Multidrop Systems

This project will develop a standard thqt defines a digital interface for connecting multiple physically separated transducers. It will leverage off the IEEE P1451.1 and IEEE P1451.2 standards. The standard will define the TEDS format, the electrical interface, channel identification protocols, hot swap protocols, time synchronization protocols, and the read and write logic functions used to access the TEDS and ...


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Jobs related to Data Management

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