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Changchang Liu
Researcher at Henan University
Publications - 2
Citations - 333
Changchang Liu is an academic researcher from Henan University. The author has contributed to research in topics: Statistical classification & Support vector machine. The author has an hindex of 2, co-authored 2 publications receiving 223 citations.
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An up-to-date comparison of state-of-the-art classification algorithms
TL;DR: It is found that Stochastic Gradient Boosting Trees (GBDT) matches or exceeds the prediction performance of Support Vector Machines and Random Forests, while being the fastest algorithm in terms of prediction efficiency.
Journal ArticleDOI
An empirical evaluation of high utility itemset mining algorithms
TL;DR: d2HUP is more efficient than EFIM under low minimum utility values and with large sparse datasets, in terms of running time; although EFIM is the fastest in dense real datasets, it is among the slowest algorithms in sparse datasets.