Common Data Visualization Challenges for Data Mining includes: Large and Complex Data Data Quality and Preprocessing Insight Discovery Overfitting and Bias Dynamic and Streaming Data Domain ...

In this paper, the concept of data mining was summarized, and its significance that contributes to commerce was illustrated as well. Based on the characteristic, an important genetic algorithm which ...

Background：This project is based on genetic algorithm, mining token selecting alpha factors for multiple cryptocurrencies.The genetic process is all writen in pytorch, so it can be accelerated on GPU.

R is a popular programming language for data mining, particularly for statistical analysis and visualization. Among the best algorithm libraries for data mining in R are Caret, Dplyr, Ggplot2, and ...

Miaoxin Li; Lin Jiang; Chao Xue; Jaing Li. KGG (Knowledge-based mining system for Genome-wide Genetic studies) is a software tool to perform knowledge-based secondary analyses of p-values from ...