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Volumn 5098, Issue , 2003, Pages 226-234

Connecting traditional sciences with the OLAP and data mining paradigms

Author keywords

Data mining; Dimension; Equivalence relation; Hierarchy; Ideal systems; Information visualization; Level; Machine learning theory; Non ideal systems; OLAP; System modeling; Universal laws

Indexed keywords

EQUIVALENCE CLASSES; LEARNING SYSTEMS; MATHEMATICAL MODELS; SET THEORY; STATISTICS; SYSTEMS ENGINEERING;

EID: 0041325142     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.488022     Document Type: Conference Paper
Times cited : (4)

References (19)
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    • Guergachi, A.A.1    Patry, G.G.2
  • 11
    • 0041654244 scopus 로고    scopus 로고
    • Using statistical learning theory to rationalize system model identification and validation. Part ii: Applications
    • A. A. Guergachi and G. G. Patry, "Using statistical learning theory to rationalize system model identification and validation. part ii: Applications," Complex Systems 1, pp. 1-8, 2003.
    • (2003) Complex Systems , vol.1 , pp. 1-8
    • Guergachi, A.A.1    Patry, G.G.2
  • 14
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  • 19
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    • Efficient intensional redefinition of aggregation hierarchies in multidimensional databases
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    • M. M. Epsil and A. A. Vaisman, "Efficient intensional redefinition of aggregation hierarchies in multidimensional databases," Fourth ACM International Workshop on Data Warehousing and OLAP (DOLAP 2001), pp. 1-8, 2001.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.