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题名: Tree-based ensemble methods and their applications in analytical chemistry
作者: Cao, Dong-Sheng1;  Xu, Qing-Song2;  Zhang, Liang-Xiao3;  Huang, Jian-Hua1;  Liang, Yi-Zeng1
关键词: Chemometrics ;  Classification and regression tree (CART) ;  Cluster analysis ;  Complex data ;  Ensemble algorithm ;  Kernel method ;  Outlier detection ;  Pattern analysis ;  Tree-based ensemble ;  Variable selection
刊名: TRAC-TRENDS IN ANALYTICAL CHEMISTRY
发表日期: 2012-11-01
DOI: 10.1016/j.trac.2012.07.012
卷: 40, 页:158-167
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology ;  Physical Sciences
类目[WOS]: Chemistry, Analytical
研究领域[WOS]: Chemistry
英文摘要: Large amounts of data from high-throughput analytical instruments have generally become more and more complex, bringing a number of challenges to statistical modeling. To understand complex data further, new statistically-efficient approaches are urgently needed to:
关键词[WOS]: MULTIVARIATE REGRESSION TREES ;  FEATURE-SELECTION TECHNIQUES ;  RANDOM FOREST ;  OUTLIER DETECTION ;  COMPOUND CLASSIFICATION ;  DECISION TREES ;  PREDICTION ;  ALGORITHM ;  TOOL ;  CHEMOMETRICS
语种: 英语
WOS记录号: WOS:000310825000021
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/138002
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

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作者单位: 1.Cent S Univ, Res Ctr Modernizat Tradit Chinese Med, Changsha 410083, Peoples R China
2.Cent S Univ, Sch Math & Stat, Changsha 410083, Peoples R China
3.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China

Recommended Citation:
Cao, Dong-Sheng,Xu, Qing-Song,Zhang, Liang-Xiao,et al. Tree-based ensemble methods and their applications in analytical chemistry[J]. TRAC-TRENDS IN ANALYTICAL CHEMISTRY,2012,40:158-167.
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