Conferences related to Data preprocessing

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2015 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of Parallel Processing.

  • 2013 IEEE International Symposium on Parallel & Distributed Processing (IPDPS)

    Parallel and distributed algorithms, focusing on stability, scalability, and fault-tolerance. Applications of parallel and distributed computing, including web, peer-to-peer, cloud, grid, scientific, and mobile computing. Parallel and distributed architectures including instruction-level and thread-level parallelism; petascale and exascale systems designs. Parallel and distributed software, including parallel and multicore programming languages, compilers, runtime systems, operating systems, and middleware for grids and clouds.

  • 2011 IEEE International Parallel & Distributed Processing Symposium (IPDPS)

    IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of parallel computation. In addition to technical sessions of submitted paper presentations, the meeting offers workshops, tutorials, and commercial presentations & exhibits. IPDPS represents a unique international gathering of computer scientists from around the world.

  • 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS)


2013 IEEE 11th International Conference on Industrial Informatics (INDIN)

The aim of the conference is to bring together researchers and practitioners from industry and academia and provide them with a platform to report on recent developments, deployments, technology trends and research results, as well as initiatives related to industrial informatics and their application.


2012 4th Conference on Data Mining and Optimization (DMO)

The scope of the conference includes, but is not limited to the following subjects: Parallel and distributed data mining algorithms, Data streams mining, Graph mining, Spatial data mining, Text & multimedia mining, Web mining, Pre-processing techniques, etc. Linear/Nonlinear Optimization, Integer/Combinatorial Optimization, metaheuristics, Network Optimization, Scheduling Problems and Stochastic Optimization.

  • 2011 3rd Conference on Data Mining and Optimization (DMO)

    Data and text mining tasks such as classification, prediction, clustering, association rules mining, etc. Data mining techniques such neural networks, genetic algorithm, artificial immune system, etc. Automated scheduling and planning models, heuristics and algorithms. Optimization problems including scheduling, timetabling, manufacturing, logistics, space allocation, anomaly detection, bioinformatics, etc.

  • 2009 2nd Conference on Data Mining and Optimization (DMO 2009)

    Data & text mining tasks such as classification, prediction, clustering, etc. Data & text mining techniques such as neural networks, genetic algorithm and other soft computing technique. Data & text Mining Applications in Medical, Healthcare and other fields. Optimization Techniques for Data & text mining. Optimization algorithms such as Local Search, Meta-heuristics search, Heuristic Search and others. Application of oprimizations technique such as in Shop-floor scheduling, Sport scheduling, Timetablin


2012 4th International Conference on Intelligent & Advanced Systems (ICIAS)

Sensor Technology Nonlinear Circuits & Systems Signal Processing Instrumentation & Control Systems Communications Systems Image Processing & Multimedia Systems Biomedical Systems VLSI & Embedded Systems Power Electronics & Power Systems Computational & Articial Intelligence

  • 2010 International Conference on Intelligent & Advanced Systems (ICIAS)

    Theory & Systems - Neural Networks & Systems - Artificial Intelligence - Computational Method - Non-linear Circuits & Systems - Signal Processing - Wavelet & Filter Banks Analog & Digital Systems - Sensory & Control Systems - Communication Systems - Image Processing & Multimedia Systems - VLSI & Embedded Systems - Biomedical Systems - Power Electronic & Power Systems

  • 2007 International Conference on Intelligent & Advanced Systems (ICIAS)

    ICIAS 2007 aims at bringing together experts and researchers working in the area of advanced and intelligent systems. Last few decades have seen proliferation of many kind of systems due mainly to advancement in theory, analysis and design techniques of circuits and systems. These systems have found applications in biomedicine, communication engineering, giga-scale systems, nanotechnology and power electronics.


2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)

Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.

  • 2011 IEEE International Conference on Information Reuse & Integration (IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.

  • 2010 IEEE International Conference on Information Reuse & Integration (2010 IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.


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Periodicals related to Data preprocessing

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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 ...


Parallel and Distributed Systems, IEEE Transactions on

IEEE Transactions on Parallel and Distributed Systems (TPDS) is published monthly. Topic areas include, but are not limited to the following: a) architectures: design, analysis, and implementation of multiple-processor systems (including multi-processors, multicomputers, and networks); impact of VLSI on system design; interprocessor communications; b) software: parallel languages and compilers; scheduling and task partitioning; databases, operating systems, and programming environments for ...


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.



Most published Xplore authors for Data preprocessing

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Xplore Articles related to Data preprocessing

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Hand-written digit recognition using Fourier descriptors and contour information

Cha-Sup Jeong; Dong-Seok Jeong TENCON 99. Proceedings of the IEEE Region 10 Conference, 1999

We propose a method for the recognition of handwritten digits. This recognition method is based on contour information and Fourier descriptors. The proposed method is divided into three steps. First, in the preprocessing step, we extract the contours of the input digit image and separate the outer and inner contour from the contour image. Second, we extract features from the ...


A neural network-based technique for change detection of linear features and its application to a Mediterranean region

I. Feldberg; N. S. Netanyahu; M. Shoshany Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International, 2002

An artificial neural network (ANN) for change detection from multi-temporal satellite images, which was reported in I. Feldberg (2001), has been further developed and tested, as part of a study of an area of high spatio-temporal heterogeneity along a climatic gradient between humid and and climate regions. Four recognition classes, "positive change", "negative change", "false change", and "no change" were ...


Habituation based neural classifiers for spatio-temporal signals

B. W. Stiles; J. Ghosh Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on, 1995

Based on the habituation mechanism found in biological neural systems, novel dynamic neural networks are proposed for recognizing temporal patterns. The specific task considered in this paper is the classification of whale songs from passive sonar data, but the networks are also readily applicable to other temporal pattern recognition problems. The fact that the networks designed operate dynamically is important, ...


Gender specific classification of road accident patterns through data mining techniques

S. Shanthi; R. Geetha Ramani Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on, 2012

Road accident analysis is very challenging task and investigating the dependencies between the attributes become complex because of many environmental and road related factors. In this research work we applied data mining classification techniques to carry out gender based classification of which RndTree and C4.5 using AdaBoost Meta classifier gives high accurate results. The training dataset used for the research ...


Handwritten alphanumeric character recognition by the neocognitron

K. Fukushima; N. Wake IEEE Transactions on Neural Networks, 1991

A pattern recognition system which works with the mechanism of the neocognitron, a neural network model for deformation-invariant visual pattern recognition, is discussed. The neocognition was developed by Fukushima (1980). The system has been trained to recognize 35 handwritten alphanumeric characters. The ability to recognize deformed characters correctly depends strongly on the choice of the training pattern set. Some techniques ...


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Educational Resources on Data preprocessing

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eLearning

Hand-written digit recognition using Fourier descriptors and contour information

Cha-Sup Jeong; Dong-Seok Jeong TENCON 99. Proceedings of the IEEE Region 10 Conference, 1999

We propose a method for the recognition of handwritten digits. This recognition method is based on contour information and Fourier descriptors. The proposed method is divided into three steps. First, in the preprocessing step, we extract the contours of the input digit image and separate the outer and inner contour from the contour image. Second, we extract features from the ...


A neural network-based technique for change detection of linear features and its application to a Mediterranean region

I. Feldberg; N. S. Netanyahu; M. Shoshany Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International, 2002

An artificial neural network (ANN) for change detection from multi-temporal satellite images, which was reported in I. Feldberg (2001), has been further developed and tested, as part of a study of an area of high spatio-temporal heterogeneity along a climatic gradient between humid and and climate regions. Four recognition classes, "positive change", "negative change", "false change", and "no change" were ...


Habituation based neural classifiers for spatio-temporal signals

B. W. Stiles; J. Ghosh Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on, 1995

Based on the habituation mechanism found in biological neural systems, novel dynamic neural networks are proposed for recognizing temporal patterns. The specific task considered in this paper is the classification of whale songs from passive sonar data, but the networks are also readily applicable to other temporal pattern recognition problems. The fact that the networks designed operate dynamically is important, ...


Gender specific classification of road accident patterns through data mining techniques

S. Shanthi; R. Geetha Ramani Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on, 2012

Road accident analysis is very challenging task and investigating the dependencies between the attributes become complex because of many environmental and road related factors. In this research work we applied data mining classification techniques to carry out gender based classification of which RndTree and C4.5 using AdaBoost Meta classifier gives high accurate results. The training dataset used for the research ...


Handwritten alphanumeric character recognition by the neocognitron

K. Fukushima; N. Wake IEEE Transactions on Neural Networks, 1991

A pattern recognition system which works with the mechanism of the neocognitron, a neural network model for deformation-invariant visual pattern recognition, is discussed. The neocognition was developed by Fukushima (1980). The system has been trained to recognize 35 handwritten alphanumeric characters. The ability to recognize deformed characters correctly depends strongly on the choice of the training pattern set. Some techniques ...


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