Showing 7 open source projects for "data mining algorithm php"

View related business solutions
  • Diagnose and Resolve IT Issues in Real Time Icon
    Diagnose and Resolve IT Issues in Real Time

    Engage your employees and agents more efficiently with ScreenMeet as a seamless extension of your existing IT Service Delivery Platform.

    ScreenMeet’s unique combination of video calling, screen share, and remote desktop functionality lets you quickly diagnose hardware and software issues with no frustration.
    Learn More
  • Resco toolkit for building mobile apps Icon
    Resco toolkit for building mobile apps

    A no-code toolkit for building responsive and resilient mobile business applications for Microsoft Power Platform, Dynamics 365, Dataverse and Salesfo

    Deploying mobile apps with Resco takes days, not months—all without writing a single line of code. Workers can download the Resco app from AppStore, Google Play, or Windows Store, log into your company environment, and instantly use the app you have published on any device.
    Learn More
  • 1
    GFP- GAKNN
    GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    MRA

    MRA

    A general recommender system with basic models and MRA

    Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
    Downloads: 0 This Week
    Last Update:
    See Project
  • All-in-one solution to control corporate spending Icon
    All-in-one solution to control corporate spending

    Issuance in seconds. Full spending control. Perfect for media buying.

    Wallester Business is a leading world-class solution to optimize your company’s financial processes! Issuing virtual and physical corporate expense cards with an IBAN account, expense monitoring, limit regulation, convenient accounting, subscription control — manage your finance on all-in-one platform in real time! Wallester Business benefits your business growth!
    Learn More
  • 5
    musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Flash/PHP adaptation of the XTEA encryption algorithm. Allows encryption/decryption of sensitive data using 128-bit key. May be used for network data (HTTP) or offline for implementations like secure CD-ROM projects.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB