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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Efficient embedding in B&W picture images

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on, 2010

This paper proposes novel method of embedding and extraction of data in Black and White picture images. The main focus of this method is on steganography in Black & white picture image. This method embeds more number of bits in a block as compared to earlier methods, which are limited to one or two bits. This method suggests the searching ...


MODMAK: a tool for the automatic obtention of SPICE-compatible power device models

Computers in Power Electronics, 1994., IEEE 4th Workshop on, 1994

One of the main tasks in power systems simulation is the selection of the devices models, including the corresponding parameters. A number of device models is available, but the extraction of the parameters of the actual (commercially available) devices, in order to be modelled requires usually a case-by-case study. This paper describes a tool that automatically obtains SPICE-compatible libraries of ...


Grid-based knowledge discovery services for high throughput informatics

High Performance Distributed Computing, 2002. HPDC-11 2002. Proceedings. 11th IEEE International Symposium on, 2002

Discovery Net is an application layer for providing grid-based knowledge discovery services. These services allow scientists to create and manage complex knowledge discovery workflows that integrate data and analysis routines provided as remote services. They also allow scientists to store, share and execute these workflows as well as publish them as new services. Discovery Net provides a higher level of ...


Novelty detection applied to the classification problem using Probabilistic Neural Network

Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on, 2014

A novel pattern is an observation which is different as compared to the rest of the data. The task of novelty detection is to build a model which identifies novel patterns from a data set. This model has to be built in such a way that if a pattern is distant from the given training data, it should be classified ...


Augmenting variation of system utterances using corpora in spoken dialogue systems

Automatic Speech Recognition and Understanding, 2005 IEEE Workshop on, 2005

Compared to the variation in utterances that users may exhibit in conversation with spoken dialogue systems, system utterances can be very rigid with little variation. One recent approach to dealing with this problem is a trainable sentence planner, which uses natural language generation techniques to create a large number of alternative utterances for a given content, by randomly combining an ...


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Educational Resources on Data Mining

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eLearning

Accurate Adware Detection Using Opcode Sequence Extraction

Raja Khurram Shahzad; Niklas Lavesson; Henric Johnson 2011 Sixth International Conference on Availability, Reliability and Security, 2011

Adware represents a possible threat to the security and privacy of computer users. Traditional signature-based and heuristic-based methods have not been proven to be successful at detecting this type of software. This paper presents an adware detection approach based on the application of data mining on disassembled code. The main contributions of the paper is a large publicly available adware ...


Optimization of Privacy Preserving Mechanisms in Homogeneous Collaborative Association Rules Mining

Marcin Gorawski; Zacheusz Siedlecki 2011 Sixth International Conference on Availability, Reliability and Security, 2011

This article focuses on optimization of cryptographic mechanisms used in association rules multiparty mining algorithms with preserving data privacy. The major part of attention is focused on increasing the performance because the computation expense can be prohibitive when applying to large databases. We introduce how to use a Common Decrypting Key for commutative encryption in Secure Set Union to improve ...


Data-driven semantic concept analysis for automatic actionable ontology design

Olga Tushkanova; Vladimir Gorodetsky 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015

The paper objectives are twofold: to discuss the essence and challenges of automatic ontology design as applied to the Big data semantic modeling and to present Semantic Concept Analysis (SCA), a framework specifically developed for automatic actionable ontology design in Big data scenario. This framework integrates the data-driven DBpedia-based technology for semi-automatic design of the ontology concept hierarchy and Formal ...


Terrain characterisation of Heard, McDonald and Macquarie Islands using multi-frequency Interferometric Synthetic Aperture Radar (InSAR) data

A. L. Mitchell; A. H-M. Ng; J. H. Yu; L. Ge 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

This study investigates the use of multi-frequency (X- and L-band) Interferometric Synthetic Aperture Radar (InSAR) data for Digital Elevation Model (DEM) generation, coastline detection and land cover mapping over Heard, McDonald and Macquarie Islands in Australian Antarctic Territory. Conventional interferometric processing was applied to generate DEMs using recently acquired SAR data. The variable capacity to extract height information from X- ...


Research and Design of Intelligent Computing Platform for Industrial Process Based on the Mobile Service

Shou-ning Qu; Jing Liu; Yan-bo Xue; Bo Wu 2009 International Conference on Management and Service Science, 2009

The current status of the industrial production process was introduced in this paper firstly, and then, this paper introduced the purpose and meaning of designing the intelligent computing platform, it makes detailed description about the architecture and design schema, and specifies function of modules respectively. It introduces the related technology of J2EE and .net standard framework, discusses how to put ...


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IEEE-USA E-Books

  • Data Analysis for Planning

    This chapter contains sections titled: Introduction Network Visualization Data Mining Statistics Least Squares Modeling Kalman Filters Problems

  • Bibliography

    The ever-growing number of new telecommunications technologies, along with the rapid growth of data networks and cable television systems has created a demand for sound network planning. In one concise volume, this book offers professionals in telecommunications and networking and graduate students an introduction to the theory underlying the interdisciplinary field of network planning, a critical aspect of network management that integrates planning telecommunications and data networks. In PLANNING TELECOMMUNICATIONS NETWORKS you will learn about the mathematical theory behind network planning, including an accessible treatment of linear programming and graph algorithms. Other featured topics cover: Reliability theory for network planning Recent software advances in databases, expert systems, object-oriented programming, data mining and data visualization Latest developments in new optimization techniques such as tabu search, simulated annealing, genetic algorithms, and neural networks Complete with homework problems, this text offers you a broad overview of network planning to begin your exploration of this emerging field. Sponsored by: IEEE Communications Society. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

  • Case Study: Modeling Response to Direct Mail Marketing

    The case study begins with an overview of the cross-industry standard process for data mining: CRISP-DM. For the business understanding phase, the direct mail marketing response problem is defined, with particular emphasis on the construction of an accurate cost / benefit table, which will be used to assess the usefulness of all later models. In the data understand and data preparation phases, the Clothing Store data set is explored. Transformations to achieve normality or symmetry are applied, as is standardization and the construction of flag variables. Useful new variables are derived. The relationships between the predictors and the response are explored, and the correlation structure among the predictors is investigated. Next comes the modeling phase. Here, two principal components are derived, using principal components analysis. Clustering analysis is performed, using the BIRCH clustering algorithm. Emphasis is laid on the effects of balancing (and over- balancing) the training data set. The baseline model performance is established. Two sets of models are examined, Collection A, which uses the principal components, and Collection B, which does not. The technique of using over-balancing as a surrogate for misclassification costs is applied. The method of combining models via voting is demonstrated, as is the method of combining models using the mean response probabilities.

  • Large-Scale Data-Intensive Computing

    In order to meet the challenges in data processing, a new domain of large- scale data-intensive computing is emerging where distributed data and computing resources are harnessed to allow users to manage, process, and explore individual data sets and, where appropriate, join them with other data sets to answer previously unanswerable questions. This chapter discusses efforts to build distributed computers specifically designed to process large quantities of data. It also discusses the work of the Advanced Data Mining and Integration Research for Europe (ADMIRE) project, which is seeking to develop software tools and techniques for advanced distributed data mining. Well- designed hardware systems are only part of the data-intensive computing story. In order to manipulate and analyze the data on such systems, it is vital to employ advanced software tools, and leading European research in this area is discussed in the chapter. cloud computing; software tools

  • Index

    The ever-growing number of new telecommunications technologies, along with the rapid growth of data networks and cable television systems has created a demand for sound network planning. In one concise volume, this book offers professionals in telecommunications and networking and graduate students an introduction to the theory underlying the interdisciplinary field of network planning, a critical aspect of network management that integrates planning telecommunications and data networks. In PLANNING TELECOMMUNICATIONS NETWORKS you will learn about the mathematical theory behind network planning, including an accessible treatment of linear programming and graph algorithms. Other featured topics cover: Reliability theory for network planning Recent software advances in databases, expert systems, object-oriented programming, data mining and data visualization Latest developments in new optimization techniques such as tabu search, simulated annealing, genetic algorithms, and neural networks Complete with homework problems, this text offers you a broad overview of network planning to begin your exploration of this emerging field. Sponsored by: IEEE Communications Society. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

  • Frontmatter

    The prelims comprise: Half Title IEEE Press Editorial Board Title Copyright Dedication Contents Preface to the Second Edition Preface to the First Edition

  • Data-Intensive Components and Usage Patterns

    This chapter provides an overview of the most common components that are used in the knowledge discovery process. It is structured according to the data- access and transformation, data integration, data preparation, data processing, data-mining, and visualization and knowledge delivery stages of the knowledge discovery process, from dealing with the source data to bringing new information to the knowledge of people or systems, which may need to react to it. The chapter starts by describing the basic components that can be used at each stage. Then it moves into more advanced usage patterns (for sampling, validation, bootstrapping). And it gives special attention to data dynamicity and its impact on the evolution of these components and usage patterns in a data-intensive context. The chapter presents a representative sample sufficient for readers to recognize the kinds of components that they will encounter and the ways in which these are evolving.

  • Index

    No abstract.

  • Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data

    We develop Conditional Random Sampling (CRS), a technique particularly suitable for sparse data. In large-scale applications, the data are often highly sparse. CRS combines sketching and sampling in that it converts sketches of the data into conditional random samples online in the estimation stage, with the sample size determined retrospectively. This paper focuses on approximating pairwise l2 and l1 distances and comparing CRS with random projections. For boolean (0/1) data, CRS is provably better than random projections. We show using real-world data that CRS often outperforms random projections. This technique can be applied in learning, data mining, information retrieval, and database query optimizations.

  • Multimedia Information Extraction in a Live Multilingual News Monitoring System

    This chapter contains sections titled: Introduction Evitap System Overview Transmedia Information Fusion Joint Training of Information Extraction Components Conclusion Acknowledgments



Standards related to Data Mining

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No standards are currently tagged "Data Mining"