Search Results for "data mining algorithms in c#.net"

Showing 3 open source projects for "data mining algorithms in c#.net"

View related business solutions
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • G-P - Global EOR Solution Icon
    G-P - Global EOR Solution

    Companies searching for an Employer of Record solution to mitigate risk and manage compliance, taxes, benefits, and payroll anywhere in the world

    With G-P's industry-leading Employer of Record (EOR) and Contractor solutions, you can hire, onboard and manage teams in 180+ countries — quickly and compliantly — without setting up entities.
    Learn More
  • 1
    C-squares

    C-squares

    Concise spatial query and representation system (c-squares)

    C-squares is an easily implemented method for storage, querying and display of spatial data locations, based on a hierarchical, grid-based representation of the Earth' surface. Source code for encoding, decoding, mapping, etc. is provided via this site. Additional support is available by contacting the system developer, Tony.Rees@marinespecies.org; see also the c-squares home page at http://www.cmar.csiro.au/csquares/ .
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Decima is a database that was designed to support time-series data mining. It consists of PostgreSQL custom type definition, implementation of GiST index for that type and snowflake database schema.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    The project will be looking at data (the intention is to begin looking at customer name/address data but this may widen over time) and ways to intelligently detect duplicates using fuzzy matching methods and algorithms.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next