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.




Xplore Articles related to Data preprocessing

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A competitive wavelet network for signal clustering

Galvao, R.K.H.; Yoneyama, T. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 2004

This correspondence proposes a novel signal clustering method based on the unsupervised training of a wavelet network. The synaptic weights are parameterized by wavelet basis functions, which are adjusted by a competitive algorithm that makes use of the neighborhood concept proposed by Kohonen. The robustness of the wavelet network with respect to noise is illustrated in a simulated problem, in ...


Translation and scale invariant recognition of handwritten Tamil characters using a hierarchical neural network

Ganapathy, V. Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on, 1993

First Page of the Article ![](/xploreAssets/images/absImages/00693183.png)


Efficacy Of Back Propagation Neural Network Based On Various Statistical Measures For Pd Pattern Classification Task

Karthikeyan, B.; Gopal, S.; Srinivasan, P.S.; Venkatesh, S. Properties and applications of Dielectric Materials, 2006. 8th International Conference on, 2006

Partial Discharge is the breakdown confined to the localized regions of the insulating medium. The analysis and classification of Partial Discharge based on its site of occurrence is a complex process notwithstanding the intricacies involved in the digital computer acquisition system, since partial discharge is inherently a stochastic and a non-Markovian process in which there can be significant statistical variability. ...


Geometric Correction of IR Imaging Spectral Image Based on IMU/GPS Navigation System

Wang Zhihe; Ma Yanhua; Shu Rong; Xu Weiming; Yu Long Infrared Millimeter Waves and 14th International Conference on Teraherz Electronics, 2006. IRMMW-THz 2006. Joint 31st International Conference on, 2006

In this paper, a process of geometric correction for IR scanning images based on GPS/IMU position and orientation data is proposed, which includes GPS/IMU data preprocessing, geometric correction according to the collinear equation, and multi-strip mosaicing. The experiment results show that the presented method get an ideal effect.


Quantum Clustering Algorithm based on Exponent Measuring Distance

Zhang Yao; Wang Peng; Chen Gao-yun; Chen Dong-Dong; Ding Rui; Zhang Yan Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on, 2008

The principle advantage and shortcoming of quantum clustering algorithm (QC) is analyzed. Based on its shortcomings, an improved algorithm - exponent distance-based quantum clustering algorithm (EQDC) is produced. It improved the iterative procedure of QC algorithm and used exponent distance formula to measure the distance between data points and the cluster centers. Experimental results demonstrate that the cluster accuracy of ...


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