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Grafana: The open and composable observability platform
Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.
Grafana is the open source analytics & monitoring solution for every database.
KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for datamining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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 dataminingalgorithm, text mining.
musicomp is a program which most important element is an evolutionary algorithm which uses datamining methods as a fitness function to generate monophone melodies.
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.
Weka++ is a collection of machine learning and dataminingalgorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.