Graph theory

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In mathematics and computer science, graph theory is the study of graphs, mathematical structures used to model pairwise relations between objects from a certain collection. (Wikipedia.org)


Conferences related to Graph theory

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2014 IEEE International Conference on Data Engineering (ICDE)

ICDE conference 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.

  • 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.

  • 2011 IEEE International Conference on Data Engineering (ICDE 2011)

    The ICDE is IEEE International Conference on Data Engineering is a premier forum for presentation of research results and advanced data-intensive applications and discussion of issues on data and knowledge engineering. The mission of the conference is to share research solutions to problems of today's information society and to identify new issues and directions for future research and development work. The ICDE 2011 will be organized by the L3S Research Center.

  • 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)

    Data Engineering deals with the use of engineering techniques and methodologies in the design, development and assessment of information systems for different computing platforms and application environments.

  • 2009 IEEE 25th International Conference on Data Engineering (ICDE 2009)

    Data Engineering deals with the use of engineering techniques and methodologies in the design, development and assessment of information systems for different computing platforms and application environments.

  • 2008 IEEE 24th International Conference on Data Engineering (ICDE 2008)


2013 IEEE 54th Annual Symposium on Foundations of Computer Science (FOCS)

Mathematical research on the foundations of computer science, including algorithms, complexity, and their applications to other fields of computer science and other sciences

  • 2010 IEEE 51st Annual Symposium on Foundations of Computer Science (FOCS)

    The 51st Annual Symposium on Foundations of Computer Science (FOCS2010), sponsored by the IEEE Computer Society Technical Committee on Mathematical Foundations of Computing, will be held at the Monte Carlo Hotel in Las Vegas, Nevada, October 24-26, 2010. A series of tutorial presentations will be given on October 23. Papers presenting new and original research on the theory of computation are sought, including papers that broaden the reach of computer science theory, or raise important problems that can ben

  • 2009 IEEE 50th Annual Symposium on Foundations of Computer Science - FOCS

    The 50th Annual Symposium on Foundations of Computer Science (FOCS2009), sponsored by the IEEE Computer Society Technical Committee on Mathematical Foundations of Computing, will be held in at the Renaissance Atlanta Hotel Downtown in Atlanta, GA, October 24-27, 2009. Papers presenting new and original research on theory of computation are sought. Typical but not exclusive topics of interest include: algorithms and data structures, computational complexity, cryptography, computational geometry, computationa

  • 2008 IEEE 49th Annual Symposium on Foundations of Computer Science - FOCS

  • 2007 IEEE 48th Annual Conference on Foundations of Computer Science - FOCS

  • 2006 IEEE 47th Annual Conference on Foundations of Computer Science - FOCS

  • 2005 IEEE 46th Annual Conference on Foundations of Computer Science - FOCS


2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of Social Network Analysis and Mining (SNAM) in academia, politics, homeland security and business. The 2013 international conference on Advances in Social Network Analysis and Mining (ASONAM-13 will primarily provide an interdisciplinary venue brings together practitioners and researchers

  • 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)

    In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community f

  • 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011)

    The international conference on Advances in Social Network Analysis and Mining (ASONAM 2011) will primarily provide an interdisciplinary venue that will bring together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. ASONAM 2011 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoreti

  • 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010)

    The international conference on Advances in Social Network Analysis and Mining (ASONAM 2010) will primarily provide an interdisciplinary venue that will bring together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. ASONAM 2010 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoreti

  • 2009 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2009)

    In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social websites, email logs, phone logs and instant messageing systems, which are widely analyzed using graph theory and machine learning techniques. People perceive teh web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community


2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

BIBM 2012 solicits high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics, biomedicine and healthcare informatics. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration


2011 2nd International Conference on Biomedical Engineering and Computer Science (ICBECS)

The 2nd International Conference on Biomedical Engineering and Computer Science (ICBECS 2011) will be held from April 23th to 24th, 2010 in Wuhan, China, which will bring together top researchers from Asian Pacific areas, North America, Europe and around the world to exchange research results and address open issues in all aspects of biomedical engineering, bioinformatics and computer science.


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Xplore Articles related to Graph theory

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The sensible graph theories of lambda calculus

Bucciarelli, A.; Salibra, A. Logic in Computer Science, 2004. Proceedings of the 19th Annual IEEE Symposium on , 2004

Sensible λ-theories are equational extensions of the untyped lambda calculus that equate all the unsolvable λ-terms and are closed under derivation. A longstanding open problem in lambda calculus is whether there exists a non- syntactic model whose equational theory is the least sensible λ-theory H (generated by equating all the unsolvable terms). A related question is whether, given a class ...


Graph-Oriented Learning via Automatic Group Sparsity for Data Analysis

Yuqiang Fang; Ruili Wang; Bin Dai Data Mining (ICDM), 2012 IEEE 12th International Conference on , 2012

The key task in graph-oriented learning is constructing an informative graph to model the geometrical and discriminant structure of a data manifold. Since traditional graph construction methods are sensitive to noise and less datum- adaptive to changes in density, a new graph construction method so-called ℓ1-Graph has been proposed [1] recently. A graph construction method needs to have two important ...


An introduction to the family members of the architecture Super Strongly Perfect Graph (SSP)

Jeya Jothi, R.M.; Amutha, A. Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on , 2011

Network is the engineering discipline concerned with the communication between computer systems or devices. A computer network is any set of computers or devices connected to each other with the ability to exchange data. Computers on a network are sometimes called nodes. Networks can be broadly classified as using graphs. In the most common sense of the term, a graph ...


Analysis of Similarity Coefficients in Fuzzy Node Fuzzy Graph and Its Application

Uesu, H.; Kanagawa, S.; Shinkai, K.; Nagashima, K. Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on , 2012

Generally, we could efficiently analyze the inexact information and investigate the fuzzy relation by applying the fuzzy graph theory. We would extend the fuzzy graph theory, and propose a fuzzy node fuzzy graph. Since a fuzzy node fuzzy graph is complicated to analyze, we would transform it to a simple fuzzy graph by using T-norm family. In addition, to investigate ...


Uncertain attribute graph model of web social network and its application

Chunying Zhang; Xue Zhang Computer Science & Education (ICCSE), 2013 8th International Conference on , 2013

Integrating characteristics' of uncertain graph and attribute graph, this paper presents" the uncertain attribute graph " concept on the basis of practical problem that relationship between individual and individual exists uncertainty and Individual and its relationship with attribute uncertainty in social network. And it descript its attribute. It respectively gives these concepts, edges uncertain attribute graph, vertices uncertain attribute graph, ...


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Jobs related to Graph theory

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Educational Resources on Graph theory

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eLearning

Design of Active-RC Filters for the Analog Front End (of Integrated Circuit System Chips)

Moschytz, George Design of Active-RC Filters for the Analog Front End (of Integrated Circuit System Chips) , 2008

The concept of the 'Analog Front End' (AFE), which is the interface to the real world in most IC-system chips, is first introduced. The course then focuses on active-RC filters which constitute an essential part of most AFEs. The formulation of filter specifications and the basic ideas associated with classical filter approximation theory are then briefly reviewed. Some key points ...


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Standards related to Graph theory

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Periodicals related to Graph theory

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Information Theory, IEEE Transactions on

The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.


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; ...