Data mining approach for environmental data predictions and classification

E Savelieva; A Pozdnukhov; V Timonin; R Parkin; M Kanevski; M Maignan; Vasily Demyanov

Data mining approach for environmental data predictions and classification

E Savelieva, A Pozdnukhov, V Timonin, R Parkin, M Kanevski, M Maignan, Vasily Demyanov

Research output: Contribution to conference › Paper

Original language	English
Pages	253-258
Number of pages	6
Publication status	Published - Mar 2005
Event	Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry - Tucson, United States Duration: 30 Mar 2005 → 1 Apr 2005

Conference

Conference	Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry
Abbreviated title	APCOM 2005
Country/Territory	United States
City	Tucson
Period	30/03/05 → 1/04/05

Cite this

Savelieva, E., Pozdnukhov, A., Timonin, V., Parkin, R., Kanevski, M., Maignan, M., & Demyanov, V. (2005). Data mining approach for environmental data predictions and classification. 253-258. Paper presented at Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, Tucson, United States.

Savelieva, E ; Pozdnukhov, A ; Timonin, V et al. / Data mining approach for environmental data predictions and classification. Paper presented at Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, Tucson, United States.6 p.

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title = "Data mining approach for environmental data predictions and classification",

author = "E Savelieva and A Pozdnukhov and V Timonin and R Parkin and M Kanevski and M Maignan and Vasily Demyanov",

year = "2005",

month = mar,

language = "English",

pages = "253--258",

note = "Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005 ; Conference date: 30-03-2005 Through 01-04-2005",

}

Savelieva, E, Pozdnukhov, A, Timonin, V, Parkin, R, Kanevski, M, Maignan, M & Demyanov, V 2005, 'Data mining approach for environmental data predictions and classification', Paper presented at Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, Tucson, United States, 30/03/05 - 1/04/05 pp. 253-258.

Data mining approach for environmental data predictions and classification. / Savelieva, E; Pozdnukhov, A; Timonin, V et al.
2005. 253-258 Paper presented at Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, Tucson, United States.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Data mining approach for environmental data predictions and classification

AU - Savelieva, E

AU - Pozdnukhov, A

AU - Timonin, V

AU - Parkin, R

AU - Kanevski, M

AU - Maignan, M

AU - Demyanov, Vasily

PY - 2005/3

Y1 - 2005/3

M3 - Paper

SP - 253

EP - 258

T2 - Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry

Y2 - 30 March 2005 through 1 April 2005

ER -

Savelieva E, Pozdnukhov A, Timonin V, Parkin R, Kanevski M, Maignan M et al.. Data mining approach for environmental data predictions and classification. 2005. Paper presented at Application of computers and operations research in the minerals industry: proceedings of the 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, Tucson, United States.