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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Implementation of VRSE over multimedia framework

Jeong-Woo Lee; Hee-Choon Kwon; Dae-Joon Hwang 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119), 2000

Technology advances and application development in the area of multimedia information systems have been rapidly increasing in recent years. An important issue to be considered in the design of a multimedia information system is the content-based retrieval of multimedia data, which helps users to retrieve the desired information based on the contents of multimedia data. In such systems, multimedia data ...


A technique for the quantitative measure of data cleanliness

Abhijit Wakchaure; Ronald Eaglin; Bahman Motlagh 2008 IEEE Conference on Cybernetics and Intelligent Systems, 2008

With the amount of data that is collected, viewed, processed, and stored today, techniques for the analysis of the accuracy of data are extremely important. Since we cannot improve what we cannot measure, the need for a tangible quantitative measure of data quality is a necessity. This paper focuses on a data-cleanliness algorithm, which makes use of the dasiaLevenshtein distancepsila, ...


A wearable passive force sensor powered by an active interrogator intended for intra-splint use for the detection and recording of bruxism

C. Gonzalez; A. Diaz Lantada 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare, 2009

A wearable bite force sensing system prototype made up of a passive force sensor and an active interrogator/reader is described. The system is aimed at bite sensing using a wireless link between the passive sensor to be located in the mouth and the external interrogator that can record the evolution of detected force. The interrogator generates a magnetic field that ...


Comparison of Brain Masking Techniques in Functional Magnetic Resonance Imaging

On Tsang; Ali Gholipour; Nasser Kehtamavaz; Kaundinya Gopinath; Richard Briggs 2007 IEEE Dallas Engineering in Medicine and Biology Workshop, 2007

Exclusion of non-brain matter in functional magnetic resonance imaging is required for performing functional localization in particular, as well as functional image analysis in general. This paper presents a comparison of the commonly used brain masking techniques in functional magnetic resonance imaging. In addition, a masking algorithm based on connected components analysis along with Gaussian smoothing is introduced. The contiguous ...


Examination of the effect of social login through analysis of user's purchasing tendency

Kohei Otake; Yoshihisa Shinozawa; Akito Sakurai; Makoto Oka; Tomofumi Uetake; Motoya Suzuki 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), 2015

This study targets social login registrants on an EC site and aims to clarify the difference between the purchasing tendency of social login registrants and general members by analyzing product purchasing history. We focused on the golf portal site that is the subject of this research. We analyzed the purchasing data comparing social login registrants with general members. As the ...


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Educational Resources on Data Mining

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eLearning

Implementation of VRSE over multimedia framework

Jeong-Woo Lee; Hee-Choon Kwon; Dae-Joon Hwang 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119), 2000

Technology advances and application development in the area of multimedia information systems have been rapidly increasing in recent years. An important issue to be considered in the design of a multimedia information system is the content-based retrieval of multimedia data, which helps users to retrieve the desired information based on the contents of multimedia data. In such systems, multimedia data ...


A technique for the quantitative measure of data cleanliness

Abhijit Wakchaure; Ronald Eaglin; Bahman Motlagh 2008 IEEE Conference on Cybernetics and Intelligent Systems, 2008

With the amount of data that is collected, viewed, processed, and stored today, techniques for the analysis of the accuracy of data are extremely important. Since we cannot improve what we cannot measure, the need for a tangible quantitative measure of data quality is a necessity. This paper focuses on a data-cleanliness algorithm, which makes use of the dasiaLevenshtein distancepsila, ...


A wearable passive force sensor powered by an active interrogator intended for intra-splint use for the detection and recording of bruxism

C. Gonzalez; A. Diaz Lantada 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare, 2009

A wearable bite force sensing system prototype made up of a passive force sensor and an active interrogator/reader is described. The system is aimed at bite sensing using a wireless link between the passive sensor to be located in the mouth and the external interrogator that can record the evolution of detected force. The interrogator generates a magnetic field that ...


Comparison of Brain Masking Techniques in Functional Magnetic Resonance Imaging

On Tsang; Ali Gholipour; Nasser Kehtamavaz; Kaundinya Gopinath; Richard Briggs 2007 IEEE Dallas Engineering in Medicine and Biology Workshop, 2007

Exclusion of non-brain matter in functional magnetic resonance imaging is required for performing functional localization in particular, as well as functional image analysis in general. This paper presents a comparison of the commonly used brain masking techniques in functional magnetic resonance imaging. In addition, a masking algorithm based on connected components analysis along with Gaussian smoothing is introduced. The contiguous ...


Examination of the effect of social login through analysis of user's purchasing tendency

Kohei Otake; Yoshihisa Shinozawa; Akito Sakurai; Makoto Oka; Tomofumi Uetake; Motoya Suzuki 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), 2015

This study targets social login registrants on an EC site and aims to clarify the difference between the purchasing tendency of social login registrants and general members by analyzing product purchasing history. We focused on the golf portal site that is the subject of this research. We analyzed the purchasing data comparing social login registrants with general members. As the ...


More eLearning Resources

IEEE-USA E-Books

  • A CostEffective, HighBandwidth Storage Architecture

    This paper describes the Network-Attached Secure Disk (NASD) storage architecture, prototype implementations of NASD drives, array management for our architecture, and three filesystems built on our prototype. NASD provides scalable storage bandwidth without the cost of servers used primarily for transferring data from peripheral networks (e.g. SCSI) to client networks (e.g. ethernet). Increasing dataset sizes, new attachment technologies, the convergence of peripheral and interprocessor switched networks, and the increased availability of on-drive transistors motivate and enable this new architecture. NASD is based on four main principles: direct transfer to clients, secure interfaces via cryptographic support, asynchronous non- criticalpath oversight, and variably-sized data objects. Measurements of our prototype system show that these services can be cost-effectively integrated into a next generation disk drive ASIC. End-to-end measurements of our prototype drive and filesystems suggest that NASD can support conventional distributed filesystems without performance degradation. More importantly, we show scalable bandwidth for NASD-specialized filesystems. Using a parallel data mining application, NASD drives deliver a linear scaling of 6.2 MB/s per client-drive pair, tested with up to eight pairs in our lab.

  • About the Editors

    Discover the next generation of data-mining tools and technologyThis book brings together an international team of eighty experts to present readers with the next generation of data-mining applications. Unlike other publications that take a strictly academic and theoretical approach, this book features authors who have successfully developed data-mining solutions for a variety of customer types. Presenting their state-of-the-art methodologies and techniques, the authors show readers how they can analyze enormous quantities of data and make new discoveries by connecting key pieces of data that may be spread across several different databases and file servers. The latest data- mining techniques that will revolutionize research across a wide variety of fields including business, science, healthcare, and industry are all presented. Organized by application, the twenty-five chapters cover applications in: Industry and business Science and engineering Bioinformatics and biotechnology Medicine and pharmaceuticals Web and text-mining Security New trends in data-mining technology And much more . . .Readers from a variety of disciplines will learn how the next generation of data-mining applications can radically enhance their ability to analyze data and open the doors to new opportunities. Readers will discover: New data-mining tools to automate the evaluation and qualification of sales opportunities The latest tools needed for gene mapping and proteomic data analysis Sophisticated techniques that can be engaged in crime fighting and preventionWith its coverage of the most advanced applications, Next Generation of Data-Mining Applications is essential reading for all researchers working in data mining or who are tasked with making se nse of an ever-growing quantity of data. The publication also serves as an excellent textbook for upper-level undergraduate and graduate courses in computer science, information management, and statistics.

  • 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

  • No title

    Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of rea ity, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect- Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography

  • Statistical Methods

    This chapter contains sections titled: Statistical Inference Assessing Differences in Data Sets Bayesian Inference Predictive Regression Analysis of Variance Logistic Regression Log-Linear Models Linear Discriminant Analysis Review Questions and Problems References for Further Study

  • 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

  • Logistic Regression

    Logistic regression is introduced by way of a simple example for predicting the presence of disease based on age. The maximum likelihood estimation methods for logistic regression are outlined. Emphasis is placed on interpreting logistic regression output. Inference within the framework of the logistic regression model is discussed, including determining whether the predictors are significant. Methods for interpreting the logistic regression model are examined, including for dichotomous, polychotomous, and continuous predictors. The assumption of linearity is discussed, as well as methods for tackling the zero-cell problem. We then turn to multiple logistic regression, where more than one predictor is used to classify a response. Methods are discussed for introducing higher order terms to handle nonlinearity. As usual, the logistic regression model must be validated. Finally, the application of logistic regression using the freely available software WEKA is demonstrated, using a small example.

  • Section 2: Video Extraction

    No abstract.

  • Fuzzy Sets and Fuzzy Logic

    This chapter contains sections titled: Fuzzy Sets Fuzzy Set Operations Extension Principle and Fuzzy Relations Fuzzy Logic and Fuzzy Inference Systems Multifactorial Evaluation Extracting Fuzzy Models from Data Review Questions and Problems References for Further Study

  • Cluster Analysis

    This chapter contains sections titled: Clustering Concepts Similarity Measures Agglomerative Hierarchical Clustering Partitional Clustering Incremental Clustering Review Questions and Problems References for Further Study



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