ZhangShichao

发表

Learning k for kNN Classification

LiXuelong, ZhangShichao, ZongMing, 2017 .

Missing Is Useful

X LingCharles, ZhangShichao, QinZhenxing, 2005 .

Combining kNN Imputation and Bootstrap Calibrated

ZhangShichao, ZhangChengqi, QinYongsong, 2010 .

A NEW SUPERVISED FEATURE SELECTION METHOD FOR PATTERN CLASSIFICATION

WuXindong, LiuHuawen, ZhangShichao, 2014 .

Low-Rank Sparse Subspace for Spectral Clustering

LiYonggang, ZhangShichao, ZhuXiaofeng, 2019 .

Efficient mining of both positive and negative association rules

WuXindong, ZhangShichao, ZhangChengqi, 2004 .

Clustering web documents using hierarchical representation with multi-granularity

HuangFaliang, WuXindong, ZhangShichao, 2014 .

Synthesizing High-Frequency Rules from Different Data Sources

WuXindong, ZhangShichao, 2003 .

Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support

ZhangShichao, ZhangChengqi, YanXiaowei, 2009 .

Noisy data elimination using mutual k-nearest neighbor for classification mining

LiuHuawen, ZhangShichao, 2012 .

Low-rank unsupervised graph feature selection via feature self-representation

HeWei, ZhangShichao, ZhuXiaofeng, 2017 .

Self-weighted Multi-view Fuzzy Clustering

ZhengWei, YangYang, ZhangShichao, 2020 .

Mining bridging rules between conceptual clusters

WuXindong, ChenFeng, ZhangShichao, 2012 .

A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules

ZhangShichao, ZhangChengqi, LuJingli, 2004 .

Sparse Graph Connectivity for Image Segmentation

LiYonggang, YangYang, ZhangShichao, 2020 .

Nearest neighbor selection for iteratively kNN imputation

ZhangShichao, 2012 .

Semi-parametric optimization for missing data imputation

ZhangShichao, ZhuXiaofeng, ZhangChengqi, 2007 .

Efficient kNN classification algorithm for big data

ZhangShichao, ChengDebo, DengZhenyun, 2016 .