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Outgrown Windows Task Scheduler?
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Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
Approximate Subgraph Matching Algorithm for Dependency Graphs
The subgraph matching problem (subgraph isomorphism) is NP-complete. Previously, we designed
an exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach
(http://esmalgorithm.sourceforge.net). We further designed an approximate subgraph matching (ASM)
algorithm that is capable of detecting approximate subgraph matching based on a subgraph
distance. Assume that the graph G and the subgraph Gs have m and n vertices, and km and kn edges
respectively,...
A java tool for anytime and interactive sequence mining. Aims at providing users with a way of analyzing her activity traces and extract activity schemes from them.
Openminer, as a data mining engine, is developed on java for analysis of dataset with the methods of data mining. By making use of openminer, we could discovery the knowledge which interests us but hides in the raw data.
Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
Library Of Randomized Algorithms:
Randomization is a powerful idea has applications in science and engineering. Difficult optimization problems, protein folding and data mining are only a few of the problems that have been solved using randomization.
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/.
NOD-MP stands for not another data-mining project. It is educational and scientific software to utilize data mining clustering algorithms through a user-friendly interface.
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.
DMTL (Data Mining Template Library) - A generic C++ based library for mining structured patterns such as sets, sequences, trees and graphs. The library provides implementation of popular frequent pattern mining algorithms.
Axe Credit Portal - ACP- is axefinance’s future-proof AI-driven solution to digitalize the loan process from KYC to servicing, available as a locally hosted or cloud-based software.
Banks, lending institutions
Founded in 2004, axefinance is a global market-leading software provider focused on credit risk automation for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (FI, Retail, Commercial, and Corporate.)
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.
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.
reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.