Fast Knowledge Discovery from Big Data--Large-scale Data Analysis with Accuracy Guarantee via Efficient Pruning Methods

There is growing interest in effectively using artificial-intelligence-based data analysis.Unfortunately, analyzing large-scale data incurs excessive computation costs.While approximate methods are commonly used to reduce computation costs, they cannot yield exact results; they sacrifice accuracy to improve efficiency.This article introduces representative methods of pruning unnecessary computations for fast and accurate data analysis.