Big Data Models and Algorithms

A data model is a strategy by which we can compose and store data. Similarly as the Dewey Decimal System composes the books in a library, a data model encourages us and arranges data as per administration, access, and use.

Big Data is information so huge that it doesn't fit in the primary memory of a solitary machine, and the need to process big data by proficient algorithms emerges in Internet search; organize traffic observing, AI, logical figuring, signal handling, and a few different regions. Few normally utilized algorithms are:

  • K-Means Clustering Algorithm
  • Association Rule Mining Algorithm
  • Linear Regression Algorithms
  • Logistic Regression Algorithms
  • C4.5
  • Support vector machine (SVM)
  • Apriori

 

    Related Conference of Big Data Models and Algorithms

    September 14-15, 2020

    International Conference on Microfluidics

    Dubai, UAE
    September 21-22, 2020

    Global Summit on Computer Science and Data Management

    Sydney, Australia
    November 23-24,2020

    8th International Conferences on Green Energy & Expo

    Edinburgh, Scotland
    October 16-17, 2020

    International Summit on Industrial Engineering

    Munich, Germany
    October 19-20, 2020

    International Conference on Microfluidics & Bio-MEMS

    Amsterdam, Netherlands
    November 09-10, 2020

    2nd World Congress on Robotics and Automation

    Amsterdam, Netherlands
    November 19-20, 2020

    World Microfluidics Congress

    Berlin, Germany
    December 10-11, 2020

    2nd International Conference on Wireless Technology

    Abu Dhabi, UAE

    Big Data Models and Algorithms Conference Speakers

    Recommended Sessions

    Related Journals

    Are you interested in