Big Data analysis and Data mining

Big data is a term for a large data set. Big data sets are those that outgrow the simple kind of database and data handling architectures that were used in earlier times, when big data was more expensive and less feasible. For example, sets of data that are too large to be easily handled in a Microsoft Excel spread sheet could be referred to as big data sets. Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. This type of activity is really a good example of the old axiom "looking for a needle in a haystack." The idea is that businesses collect massive sets of data that may be homogeneous or automatically collected. Decision-makers need access to smaller, more specific pieces of data from those large sets. They use data mining to uncover the pieces of information that will inform leadership and help chart the course for a business.

 

    Related Conference of Big Data analysis and Data mining

    September 18-19, 2019

    8th International Conference on Biostatistics & Bioinformatics

    San Francisco, USA
    September 25-26, 2019

    6th International Conference and Expo on Computer Graphics & Animation

    | Toronto | Ontario | Canada
    October 23-24, 2019

    11th Euro Biosensors & Bioelectronics Congress

    Rome, Italy
    October 24-25, 2019

    6th World Machine Learning and Deep Learning Congress

    Helsinki, Finland
    October 25-26, 2019

    12th International Conference & Exhibition on Biosensors & Bioelectronics

    | Vancouver | British Columbia | Canada
    December 2-3, 2019

    Global Animation and Multimedia Conference

    Manila, Philippines
    February 24-25, 2020

    10th World Congress on Biosensors and Bioelectronics

    Zurich, Switzerland
    May 21-22,2020 London ,UK

    Humanoid Robotics,Artificial intelligence and Automation

    London ,UK

    Big Data analysis and Data mining Conference Speakers

    Recommended Sessions

    Related Journals

    Are you interested in