Abstract: Feature selection is a process to reduce the dimension of a dataset by removing redundant features, and to use the optimal subset of features for machine learning or data mining algorithms.

If you have trouble with missing .dll or CUDA errors, please install the latest version of CUDA drivers or report to project maintainers. Open "Developer Command ...

Abstract: Heuristic algorithms have been developed to find approximate solutions for high-utility itemset mining (HUIM) problems that compensate for the performance bottlenecks of exact algorithms.

To solve the low efficiency of simple greedy algorithms, [22] in 2009 proposed a degree discount heuristics to improve influence spread, by considering the degree discount of a candidate node caused ...

Last year, many took to social media using the hashtag #NoCongoNoPhone to fight against the cobalt supply chain that fosters child labor and the exploitation of small-scale artisanal miners. The ...

This package implements an approach of epistasis mining based on Genetic Tabu Algorithm and Bayesian Network. It uses Genetic Tabu Algorithm into the heuristic search strategy of Bayesian network. The ...

Few things seem creepier than algorithms mining our voices or photos to determine whether we should be considered for a job, and yet we’re not that far from this scenario at all. What’s more, it may ...

Understanding human memory has been a long-standing problem in various scientific disciplines. Early works focused on characterizing human memory using small-scale controlled experiments and these ...

Pfizer Global Research and Development, Ann Arbor Laboratories, 2800 Plymouth Road, Ann Arbor, Michigan 48105 Krebs Institute for Biomolecular Research and Department of Information Studies, ...