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Volumn 16, Issue 8-10, 2002, Pages 377-386

New and old trends in chemometrics. How to deal with the increasing data volumes in R&D&P (research, development and production) - With examples from pharmaceutical research and process modeling

Author keywords

Chemometrics; Interpretability of results; Large data sets; Non linearities; PLS

Indexed keywords

CHEMOMETRICES; DATA VOLUME; INTERPRETABILITY; INTERPRETABILITY OF RESULT; LARGE DATASETS; NON-LINEARITY; PHARMACEUTICAL RESEARCH; PLS; RESEARCH DEVELOPMENT; RESEARCH PRODUCTIONS;

EID: 0036685920     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/cem.746     Document Type: Conference Paper
Times cited : (41)

References (36)
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  • 18
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    • Hierarchical experimental design exemplified by QSAR evaluation of a chemical library directed towards the melanocortin 4 receptor
    • In press
    • (2002) J. Chemometrics , vol.16
    • Lundstedt, T.1
  • 36
    • 0035420381 scopus 로고    scopus 로고
    • Clustering massive datasets with applications in software metrics and tomography
    • (2001) Technometrics , vol.43 , pp. 336-346
    • Maitra, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.