Data preprocessing

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Conferences related to Data preprocessing

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2012 10th IEEE International Conference on Industrial Informatics (INDIN)

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IEEE INDIN is the premier conference series presenting the state of the art and future perspectives of industrial information technologies\, where industry experts\, researchers\, and academics share ideas and experiences surrounding frontier technologies\, breakthrough and innovative solutions and applications.


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

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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)

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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.


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

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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


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

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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. Now, more than ever, we prize this annual meeting as a testament to the strength of international


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Xplore Articles related to Data preprocessing

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  • Data preprocessing for prediction of rerecirculating water chemistry faults

    Gao Qiang; Wang Xinmin; Dong Chao; Li Chenguang Computer Application and System Modeling (ICCASM), 2010 International Conference on, 2010

    The water quality data in some petrochemical company are stored in the lims database, in order to support the field operation's decision-making according to these data, it's necessary to do some appropriate data mining. However, the accuracy of the results of data mining directly associated with the quality of source data, so data preprocessing on the raw data is necessary ...

  • Enhanced data extraction, transforming and loading processing for Traditional Chinese Medicine clinical data warehouse

    Xishui Pan; Xuezhong Zhou; Hongmei Song; Runshun Zhang; Tingting Zhang e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on, 2012

    Clinical data warehouse has been developed as a fundamental data infrastructure for large scale TCM clinical data management and decision support services. However, as a key component, data extraction, transforming and loading (ETL) is a complicated and labor intensive task to ensure high data quality before all kinds of data analyses. This paper introduces an enhanced ETL technique framework, which ...

  • Building a new taxonomy for data discretization techniques

    Bakar, A.A.; Othman, Z.A.; Mohd Shuib, Nor Liyana Data Mining and Optimization, 2009. DMO '09. 2nd Conference on, 2009

    Data preprocessing is an important step in data mining. It is used to resolve various types of problem in a large dataset in order to produce quality data. It consists of four steps, namely, data cleaning, integration, reduction and transformation. The literature shows that each preprocessing step consists of various techniques. In order to develop quality data, a data miner ...

  • Beyond data management: How to foster data exploitation and better science?

    Pirenne, B.; Guillemot, E. Oceans, 2012, 2012

    The advent of large scale, high-bandwidth on-line access and generously powered ocean floor observatories were predicted to transform the way ocean science is conducted. They have lived up to this promise. New cabled observatories have sometimes in excess of 100 different instruments semipermanently installed in areas of scientific interest. The instruments represent hundreds of different variables measured at a high ...

  • Agent based preprocessing

    Othman, Z.A.; Bakar, A.A.; Hamdan, A.R.; Omar, K.; Mohd Shuib, Nor Liyana Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on, 2007

    The current data mining tools is used to build knowledge based on a huge historical data. At present, businesses are facing with fast growing data that are very valuable in contributing knowledge. Knowledge should be updated regularly in order to ensure its quality and precision thus improve the decision making process. Data mining has shown great potential in extracting valuable ...

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Jobs related to Data preprocessing

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Chief Technology Officer Data I/O Corporation
Database Administrator ADS Alliance Data Systems, Inc.
Senior Database Administrator ADS Alliance Data Systems, Inc.
Database Developer ADS Alliance Data Systems, Inc.
Apps Programmer/Analyst, Specialist: ADS Alliance Data Systems, Inc.
Research Assistant or Research Associate in Data Fusion and Data Mining - “SPHERE” Project (up to 2 University of Bristol
Data Center Facilities Electrical Engineer IBM
Data Center Electrical Engineer IBM
Embedded Data Acquisition Systems Designer NATO STO CMRE
Data Net Engineer IV XO Communications Services, Inc.
Command Processor Architecture lead Qualcomm, Inc.
SW Computational neuroscience engineer - data logging, analysis and mining (Qualcomm Research) Qualcomm, Inc.
IT Operations Services (Data Center) Engineer Qualcomm, Inc.
Software Tools Developer - Corporate Tools and Data Services Qualcomm, Inc.
IT Operations Services (Data Center) Engineer Qualcomm, Inc.
Data Centre Operations Analyst (Electrical Engineering) Unilever
Data Centre Operations Analyst (Electrical Engineering) Ben and Jerry's
Senior Software Support Engineer - Data Synchronization Engineer - Qualcomm, Cork, Ireland Qualcomm, Inc.
Senior Hardware Support Engineer - Data Synchronization Engineer - Qualcomm, Cork, Ireland Qualcomm, Inc.
Database Developer/Administrator Qualcomm, Inc.
Programmer Analyst (Business Intelligence/Data Warehouse) Qualcomm, Inc.
Standard Cell Timing Characterization and Methodology Engineer Qualcomm, Inc.
Senior Oracle ERP Application Database Administrators - Qualcomm IT Dept, Cork, Ireland Qualcomm, Inc.
Senior Oracle Database Administrators - Qualcomm IT Dept, Cork, Ireland Qualcomm, Inc.
Standard and Custom Cell/Macro Library Design Engineer Qualcomm, Inc.

Educational Resources on Data preprocessing

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Standards related to Data preprocessing

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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 ...

  • 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.