Conferences related to Data Analysis

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)

The conference will provide a forum for discussions and presentations of advancements inknowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.


2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.


2019 IEEE International Professional Communication Conference (ProComm)

The scope of the conference includes the study, development, improvement, and promotion ofeffective techniques for preparing, organizing, processing, editing, collecting, conserving,teaching, and disseminating any form of technical information by and to individuals and groupsby any method of communication. It also includes technical, scientific, industrial, and otheractivities that contribute to the techniques and products used in this field.


2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

robotics, intelligent systems, automation, mechatronics, micro/nano technologies, AI,


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Periodicals related to Data Analysis

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Most published Xplore authors for Data Analysis

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Xplore Articles related to Data Analysis

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Noise threshold estimation in spectrum monitoring data analysis application

2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 2018

With the rapid development of radio service and monitoring facilities, spectrum monitoring applications step into big data era. Based on the support of big data analysis technology, many algorithms are proposed to get valuable information through dealing with massive monitoring data. However, performances of these algorithms are limited by the usual methods of setting noise threshold. In this paper, we ...


An M2M Data Analysis Service System Based on Open Source Software Environments

2013 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

Data analysis in a Machine-to-Machine (M2M) service system should concurrently satisfy three requirements, massive data analysis, real-time data analysis, and deep data analysis. However, for this purpose, it is necessary to introduce costly software products such as a Data Stream Management System (DSMS) into M2M service system. In this paper, we propose an M2M data analysis service system using open ...


Visual analytics of terrorist activities related to epidemics

2011 IEEE Conference on Visual Analytics Science and Technology (VAST), 2011

The task of the VAST 2011 Grand Challenge was to investigate potential terrorist activities and their relation to the spread of an epidemic. Three different data sets were provided as part of three Mini Challenges (MCs). MC 1 was about analyzing geo-tagged microblogging (Twitter) messages to characterize the spread of an epidemic. MC 2 required analyzing threats to a computer ...


Data analysis anti-patterns in empirical software engineering

2013 1st International Workshop on Data Analysis Patterns in Software Engineering (DAPSE), 2013

The paper introduces the concept of data analysis anti-patterns, i.e., data analysis procedures that may lead to invalid results that may mislead decision makers. Two examples of anti-patterns are presented and discussed.


Impacts of public transportation fare reduction policy on urban public transport sharing rate based on big data analysis

2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), 2018

Urban transport is an important support system to the city. With the city's development, traffic congestion has become a major traffic problem nowadays and it is badly in need of solutions. Big data analysis has been widely used in the domain of transportation in recent years and it does great help to find solutions to different kinds of problems from ...


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Educational Resources on Data Analysis

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IEEE-USA E-Books

  • Noise threshold estimation in spectrum monitoring data analysis application

    With the rapid development of radio service and monitoring facilities, spectrum monitoring applications step into big data era. Based on the support of big data analysis technology, many algorithms are proposed to get valuable information through dealing with massive monitoring data. However, performances of these algorithms are limited by the usual methods of setting noise threshold. In this paper, we proposed a new method of setting noise threshold based on estimating the mean energy level of noise by searching spectrum hole. Its validity and applicability are verified by the real monitoring data. In the end we give some advices about setting noise threshold for relative applications.

  • An M2M Data Analysis Service System Based on Open Source Software Environments

    Data analysis in a Machine-to-Machine (M2M) service system should concurrently satisfy three requirements, massive data analysis, real-time data analysis, and deep data analysis. However, for this purpose, it is necessary to introduce costly software products such as a Data Stream Management System (DSMS) into M2M service system. In this paper, we propose an M2M data analysis service system using open source software environments, such as SQLite and R, for small-and medium-sized M2M service system. In this study, we evaluate the proposed system based on an application scenario assuming a demand response system smart grid, and extract challenges for the future.

  • Visual analytics of terrorist activities related to epidemics

    The task of the VAST 2011 Grand Challenge was to investigate potential terrorist activities and their relation to the spread of an epidemic. Three different data sets were provided as part of three Mini Challenges (MCs). MC 1 was about analyzing geo-tagged microblogging (Twitter) messages to characterize the spread of an epidemic. MC 2 required analyzing threats to a computer network using a situational awareness approach. In MC 3 possible criminal and terrorist activities were to be analyzed based on a collection of news articles. To solve the Grand Challenge, insight from each of the individual MCs had to be integrated appropriately.

  • Data analysis anti-patterns in empirical software engineering

    The paper introduces the concept of data analysis anti-patterns, i.e., data analysis procedures that may lead to invalid results that may mislead decision makers. Two examples of anti-patterns are presented and discussed.

  • Impacts of public transportation fare reduction policy on urban public transport sharing rate based on big data analysis

    Urban transport is an important support system to the city. With the city's development, traffic congestion has become a major traffic problem nowadays and it is badly in need of solutions. Big data analysis has been widely used in the domain of transportation in recent years and it does great help to find solutions to different kinds of problems from historical data. In order to solve the urban traffic problems fundamentally, developing the public traffic is one of the major effective ways and bus priority policies and strategies are such important measures that they have contributions to the increase of public transport sharing rate. This paper mainly studied the influences of two bus fare adjustment policies in Beijing on urban public transport sharing rate based on big data analysis through the computer software SPSS, and then put forward corresponding recommendations to the reform of bus fares in Beijing.

  • Big data analysis technology application in agricultural intelligence decision system

    Agricultural intelligent decision system has a positive practical significance for guiding agricultural production, which can provide scientific basis for agriculture. Big data analysis technology can effectively improve the performance of intelligent decision system. The research development of the agricultural intelligent decision system is given. The classification of the agricultural decision system is introduced. The frame designation of the intelligent decision system is studied, and the design process is given.

  • CEDARS: Combined exploratory data analysis recommender system

    We present a framework for recommender systems (RS) to support exploratory data analysis (EDA) in analytical decision making. EDA helps the domain expert, often not a statistical expert, discover interesting relationships between variables and thus be motivated to explain the data. By capturing the behavior of expert analysts in EDA, RS could advise domain experts of “standard” analytical operations and suggest operations novel to the domain but consistent in analytical goals with requested operations. We enhance our framework with rules that encapsulate standard analytical practice and by incorporating user preferences. We present a scalable framework architecture, which we implemented in a prototype system, and discuss two use cases where the prototype was exercised, analyzing data from image analysis and analyzing eye tracking data.

  • Measure what counts: An evaluation pattern for software data analysis

    The `Measure what counts' pattern consists in evaluating software data analysis techniques against problem-specific measures related to cost and other stakeholders' goals instead of relying solely on generic metrics such as recall, precision, F-measure, and Receiver Operating Characteristic area.

  • The Development of Evaluation System for Ocean Environment Monitoring Data Analysis

    This paper developed Marine environment monitoring data analysis and evaluation system based on the research of the function and structure design. The systems realize the automatic monitoring data analysis and evaluation function, satisfy the marine environment monitoring and management of the business needs.

  • Research of the Modern Uyghur Data Analysis Technology

    With the development of our society, the languages are also constantly evolving. In order to master the word situation of modern Uyghur language, I regard modern Uyghur language data analysis technology as the study method, the standard Uyghur language textbooks frequency list of elementary and junior high school as the object of study, we can make a study of the word situation survey. In this article, first of all, introduces the theme types, theme source in the using corpus. Secondly, to state the algorithm research of modern Uyghur language data analysis system, Third I describe function of the modern Uyghur language data analysis software and working principle of each module. Forth, I regard the standard Uyghur language textbooks frequency list of elementary and junior high school as the object of study to validate the reliability and validity of frequency range analysis, coverage rate analysis and text number distribution analysis function of data analysis system. We obtained Ideal experimental results after the actual experiment. It provides advanced tools and techniques for the next step of modern Uyghur language further in-depth analysis study.



Standards related to Data Analysis

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Guide for the statistical analysis of electrical insulation breakdown data


IEEE Application Guide for Distributed Digital Control and Monitoring for Power Plants


IEEE Recommended Practice for Inertial Sensor Test Equipment, Instrumentation, Data Acquisition, and Analysis

Recommended practices for gyroscope and accelerometer testing are discussed, ranging from the equipment and instrumentation employed to the way that tests are carried out and data are acquired and analyzed.


IEEE Recommended Practice for Radar Cross-Section Test Procedures

This recommended practice establishes processes for the measurement of the electromagnetic scattering from objects. It is written for the personnel responsible for the operation of test ranges, and not for the design of such ranges. It recommends procedures for testing and documenting the quality of the measurement system, for calibrating the measurement system, for carrying out the radar scattering measurements, ...