Conferences related to Data Mining

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IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium

The Geoscience and Remote Sensing Society (GRSS) seeks to advance science and technology in geoscience, remote sensing and related fields using conferences, education and other resources. Its fields of interest are the theory, concepts and techniques of science and engineering as they apply to the remote sensing of the earth, oceans, atmosphere, and space, as well as the processing, interpretation and dissemination of this information.


2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

IEEE International Conference on Fuzzy Systems is the largest technical event in the field of fuzzy systems. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.

  • 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

    The conference will provide a platform for researchers and practitioners to deliberate / exchange ideas on a wide range topics in fuzzy systems and related areas including fuzzy measures, fuzzy control, fuzzy pattern recognition, data/text/web mining, information/text/image retrieval, knowledge discovery, reasoning, and applications of fuzzy theories in all areas

  • 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

    The annual FUZZ-IEEE is one of the leading events in the field of fuzzy systems.

  • 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

    The FUZZ-IEEE 2011 will be held in Taipei, Taiwan. The conference will cover the whole range of research and applications in fuzzy systems and soft computing. In addition to regular oral and poster presentations, the conference will include a full program of tutorials, workshops, panel sessions, and keynote talks.

  • 2010 IEEE 18th International Conference on Fuzzy Systems (FUZZ-IEEE)

  • 2009 IEEE 17th International Conference on Fuzzy Systems (FUZZ-IEEE)

    Topics: Fuzzy logic/reasoning, Fuzzy mathematics, Fuzzy adaptive/control systems, Fuzzy system modeling and analysis, Fuzzy data mining/analysis, Fuzzy decision making, Fuzzy optimization/forecasting, Fuzzy pattern recognition and image/signal processing, Fuzzy information systems, Fuzzy system architecture/hardware, Fuzzy internet applications, Computing with words


2014 International Conference on Distributed Frameworks for Multimedia Applications (DFmA)

Papers are invited on all aspects of Advanced Computer Networks/Next Generation Internet or research areas aligned to it that include (but are not limited to) the following: Multimedia Communications and Systems, Networks/Internet & Communications, Internet Security and Monitoring, Grid and Cloud Computing.

  • 2010 International Conference on Distributed Frameworks for Multimedia Applications (DFmA)

    DFmA (Distributed Frameworks & Applications) formerly known as DFMA (Distributed Framework for Multimedia & Applications) is the series of annual Franco Malaysia Conference on Multimedia that has already initiated in 2005 by the University Franche- Comt and the Universiti Sains Malaysia (USM) to provide a forum for researchers in computer science from both countries and to promote interaction with researchers from other regions as well. DFmA is an international conference born from the collabora


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.

  • 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)

    10th International CBMI Workshop aims at bringing together the various communities involved in all aspects of content-based multimedia indexing, retrieval, browsing and presentation. The scientific program of CBMI 2012 will include invited keynote talks and regular, special and demo sessions with contributed research papers.

  • 2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)

    CBMI 2011 aims at bringing together the various communities involved in the different aspects of content-based multimedia indexing, retrieval, browsing and presentation.

  • 2010 International Workshop on Content-Based Multimedia Indexing (CBMI)

    CBMI 2010 aims at bringing together the various communities involved in the different aspects of Content-Based Multimedia Indexing. submissions include, but are not limited to multimedia indexing and retrieval, matching and similarity search,construction of high level indices, multimedia content extraction, dentification and tracking of semantic regions in scenes, ...

  • 2009 International Workshop on Content-Based Multimedia Indexing (CBMI)

    CBMI 2009 aims at bringing together the research communities involved in the different aspects of content-based multimedia indexing, such as image analysis, computer vision, pattern recognition and information retrieval with current industrial trends and developments.

  • 2008 International Workshop on Content-Based Multimedia Indexing (CBMI)

    CBMI is the main international forum for the presentation and discussion of the latest technological advances, industrial needs and product developments in multimedia indexing, search, retrieval, navigation and browsing.

  • 2007 International Workshop on Content-Based Multimedia Indexing (CBMI)

    Multimedia indexing and retrieval (image, audio, video, text), Multimedia content extraction, Matching and similarity research, Construction of high level indices, Multi-modal and cross-modal indexing, Content-based search techniques, Multimedia data mining, Presentation tools, Meta-data compression and tranformation, Handling of very large scale multimedia database, Organization, summarization and browsing of multimedia documents, Applications, Evaluation and metrics


2013 16th International Conference on Information Fusion - (FUSION 2013)

Scope of the conference is to provide medium to discuss advances and applications of fusion methodologies. Conference will include contributions in the areas of fusion methodologies, theory and representation, algorithms and modelling and simulation.

  • 2012 15th International Conference on Information Fusion (FUSION)

    The objective of the conference is to provide a forum to discuss advances and applications of fusion methodologies. The conference will feature keynote speeches, special sessions, and tutorials on topics of current interest.

  • 2011 International Conference on Information Fusion (FUSION)

    This conference is dedicated to advancing the knowledge, theory, and applications of information fusion. Topics will include radar processing, artificial intelligence, target tracking, classification, sensor networks, and sensor management.

  • 2010 13th International Conference on Information Fusion - (FUSION 2010)

    This annual conference aims to bring together professionals from around the world to facilitate discussion on the recent advances and pertinent issues in fusion technologies. Key themes are Methodologies, Algorithmic Domains, Solution Paradigms, Sensor Specific Processing and Fusion, Modelling, Simulation and Evaluation and Application Domains.

  • 2009 12th International Conference on Information Fusion - (FUSION 2009)

    Overview -- The 12th International Conference on Information Fusion will be held in Seattle, Washington, at the Grand Hyatt Seattle Hotel. Authors are invited to submit papers describing advances and applications in information fusion, with submission of non-traditional topics encouraged. Conference Site -- Pacific Northwest is one of the most scenic parts of United States and Seattle is the home of some of the world's biggest technology companies such as Boeing and Microsoft. Seattle is easily accessible

  • 2008 11th International Conference on Information Fusion - (FUSION 2008)

    The conference exists to advance the understanding of information fusion methodologies, algorithms, technologies and applications.

  • 2007 10th International Conference on Information Fusion - (FUSION 2007)

    This conference is the annual conference of the International Society of Information Fusion (ISIF:www.isif.org). It is the forum of scientists and engineers involved in sensor fusion, data fusion, information fusion and knowledge management.

  • 2006 9th International Conference on Information Fusion - (FUSION 2006)


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Periodicals related to Data Mining

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Internet Computing, IEEE

IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications. A crossroads between academic researchers and ...


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 ...


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...


Transactions on Sustainable Energy

The IEEE Transactions on Sustainable Energy is a cross disciplinary and internationally archival journal aimed at disseminating results of research on sustainable energy that relates to, arises from, or deliberately influences energy generation, transmission, distribution and delivery. The journal will publish original research on theories and development on principles of sustainable energy technologies and systems.This journal will cover the following ...




Xplore Articles related to Data Mining

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Predicting Future High-Cost Patients: A Real-World Risk Modeling Application

Sai T. Moturu; William G. Johnson; Huan Liu 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

Health care data from patients in the Arizona Health Care Cost Containment System, Arizona's Medicaid program, provides a unique opportunity to exploit state-of-the-art data processing and analysis algorithms to mine the data and provide actionable results that can aid cost containment. This work addresses specific challenges in this real-life health care application to build predictive risk models for forecasting future ...


A knowledge-extraction experience in anticoagulation for early postoperative cardiac valvular surgery

M. A. Simonet; A. Boignard; V. Bach; S. Tramaille; M. Simonet; D. Blin 2007 Computers in Cardiology, 2007

Cardiac valvular prosthesis surgery requires an anticoagulant treatment whose management is particularly difficult in early postoperative surgery. The capacity to avoid both thromboembolic and haemorrhagic risks relies on the integration of numerous parameters. In this paper, we present an experience of Knowledge Extraction from clinical and biological data from a cardiac surgery department of the University Hospital of Grenoble. The ...


K nearest neighbor classifier over secured perturbed data

R. Mynavathi; V. Bhuvaneswari; T. Karthikeyan; C. Kavina 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), 2016

Privacy Preserving Data Mining has gained very specific area of interest for researchers due to the impact of various security issues. With the voluminous growth of data, threat to individual's private information also grows. Developing useful data mining models without accessing private information has become a major concern. Many studies on data perturbation techniques for protecting sensitive data focus on ...


Single image dehazing and denoising with variational method

Faming Fang; Fang Li; Xiaomei Yang; Chaomin Shen; Guixu Zhang 2010 International Conference on Image Analysis and Signal Processing, 2010

In this paper, we propose an unified variational approach for image dehazing and denoising from a single input image. Total variation regularization terms are used in the energy functional. Also, we use the negative gradient descent method to solve the corresponding Euler-Lagrange equations. To obtain good initial values, we improve the estimation of transmission map with the windows adaptive method ...


A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors

Nicholas Walczak; Joshua Fasching; William Toczyski; Ravi Sivalingam; Nathaniel Bird; Kathryn Cullen; Vassilios Morellas; Barbara Murphy; Guillermo Sapiro; Nikolaos Papanikolopoulos 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

In developmental disorders such as autism and schizophrenia, observing behavioral precursors in very early childhood can allow for early intervention and can improve patient outcomes. While such precursors open the possibility of broad and large-scale screening, until now they have been identified only through experts' painstaking examinations and their manual annotations of limited, unprocessed video footage. Here we introduce a ...


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Educational Resources on Data Mining

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eLearning

Predicting Future High-Cost Patients: A Real-World Risk Modeling Application

Sai T. Moturu; William G. Johnson; Huan Liu 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

Health care data from patients in the Arizona Health Care Cost Containment System, Arizona's Medicaid program, provides a unique opportunity to exploit state-of-the-art data processing and analysis algorithms to mine the data and provide actionable results that can aid cost containment. This work addresses specific challenges in this real-life health care application to build predictive risk models for forecasting future ...


A knowledge-extraction experience in anticoagulation for early postoperative cardiac valvular surgery

M. A. Simonet; A. Boignard; V. Bach; S. Tramaille; M. Simonet; D. Blin 2007 Computers in Cardiology, 2007

Cardiac valvular prosthesis surgery requires an anticoagulant treatment whose management is particularly difficult in early postoperative surgery. The capacity to avoid both thromboembolic and haemorrhagic risks relies on the integration of numerous parameters. In this paper, we present an experience of Knowledge Extraction from clinical and biological data from a cardiac surgery department of the University Hospital of Grenoble. The ...


K nearest neighbor classifier over secured perturbed data

R. Mynavathi; V. Bhuvaneswari; T. Karthikeyan; C. Kavina 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), 2016

Privacy Preserving Data Mining has gained very specific area of interest for researchers due to the impact of various security issues. With the voluminous growth of data, threat to individual's private information also grows. Developing useful data mining models without accessing private information has become a major concern. Many studies on data perturbation techniques for protecting sensitive data focus on ...


Single image dehazing and denoising with variational method

Faming Fang; Fang Li; Xiaomei Yang; Chaomin Shen; Guixu Zhang 2010 International Conference on Image Analysis and Signal Processing, 2010

In this paper, we propose an unified variational approach for image dehazing and denoising from a single input image. Total variation regularization terms are used in the energy functional. Also, we use the negative gradient descent method to solve the corresponding Euler-Lagrange equations. To obtain good initial values, we improve the estimation of transmission map with the windows adaptive method ...


A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors

Nicholas Walczak; Joshua Fasching; William Toczyski; Ravi Sivalingam; Nathaniel Bird; Kathryn Cullen; Vassilios Morellas; Barbara Murphy; Guillermo Sapiro; Nikolaos Papanikolopoulos 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

In developmental disorders such as autism and schizophrenia, observing behavioral precursors in very early childhood can allow for early intervention and can improve patient outcomes. While such precursors open the possibility of broad and large-scale screening, until now they have been identified only through experts' painstaking examinations and their manual annotations of limited, unprocessed video footage. Here we introduce a ...


More eLearning Resources

IEEE-USA E-Books

  • Data Mining for Moving Object Databases

    This chapter contains sections titled: Introduction Mobility Prediction using Movement Histories Sequential Pattern Mining-Based Approaches Finding other Interesting Patterns Clustering Moving Objects Dense Regions and Selectivity Estimation Comparing Moving Object Trajectories Conclusions Acknowledgments References

  • On Learning Strategies for TopicSpecific Web Crawling

    This chapter contains sections titled: Introduction The Learning Crawler Framework Use of Linkage-Based Techniques On the Merits of Combining User and Linkage Information for Topical Resource Discovery Conclusions and Summary This chapter contains sections titled: References

  • Mobile Data Mining on Small Devices through Web Services

    This chapter contains sections titled: Introduction Mobile Data Mining Mobile Web Services System Design and Implementation Summary References

  • On Analyzing Web Log Data: A Parallel SequenceMining Algorithm

    This chapter contains sections titled: Introduction Related Work Click Stream Analysis: An Integrated Solution Performance and a Sample Business Analysis Future Work and Conclusion This chapter contains sections titled: Acknowledgments References

  • Introduction to Pattern Recognition and Data Mining

    This introductory chapter of the book provides a brief review of pattern recognition, data mining, and application of pattern recognition algorithms in data mining problems. The objective of the book is to provide some results of investigations, both theoretical and experimental, addressing the relevance of rough-fuzzy approaches to pattern recognition with real-life applications. The chapter first briefly presents a description of the basic concept, features, and techniques of pattern recognition. It then elaborates the data mining aspect, discussing its components, tasks involved, approaches, and application areas. The chapter next introduces the pattern recognition perspective of data mining and mentions related research challenges. It describes the role of soft computing in pattern recognition and data mining. Finally, the chapter discusses the scope and organization of the book. fuzzy logic

  • Genetic Algorithms

    This chapter contains sections titled: Fundamentals of Genetic Algorithms Optimization Using Genetic Algorithms A Simple Illustration of a Genetic Algorithm Schemata Traveling Salesman Problem Machine Learning Using Genetic Algorithms Review Questions and Problems References for Further Study

  • End of the Journey?

    This chapter contains sections titled: Recapitulation, Future Challenges and General Concerns, Formally Capturing the Quality Characteristics of Data, Corporate Householding, Data Mining, Data Integration, Security, The Wired and Wireless World, A Final Observation

  • Association Rules

    This chapter contains sections titled: Market-Basket Analysis Algorithm Apriori From Frequent Itemsets to Association Rules Improving the Efficiency of the Apriori Algorithm FP Growth Method Associative-Classification Method Multidimensional Association-Rules Mining Review Questions and Problems References for Further Study

  • Section 3: Audio, Graphics, and Behavior Extraction

    No abstract.

  • Interactive Methods for Taxonomy Editing and Validation

    This chapter contains sections titled: Introduction Gene Rating a Taxonomy Viewing the Taxonomy Editing the Taxonomy Validation Text Analysis Versus Structured Information Usage Scenario: Interactive Text Mining on Discussion Forum Data Conclusions This chapter contains sections titled: Acknowledgments References



Standards related to Data Mining

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No standards are currently tagged "Data Mining"