The paper presents methods for discovering patterns hidden in the experimental data sets. The methods are based on the construction of a compressed description of these data and removal the anomalous data. In this case the observations are presented in a compact form, which are convenient for interpretability by a human expert and for solving classical Data Mining problems.
Author(s):
Zagoruiko Nikolay GrigoryevichDr. , Professor
Position: Head of Laboratory
Office: Sobolev Institute of Mathematics SB RAS
Address: 630090, Russia, Novosibirsk, Acad. Koptyug avenue 4
Phone Office: (383)363 46 83
E-mail: zag@math.nsc.ru
Borisova Irina ArtemovnaPhD.
Position: Senior Research Scientist
Office: Sobolev Institute of Mathematics SB RAS
Address: 630090, Russia, Novosibirsk, Acad. Koptyug avenue 4
Phone Office: (383)36-34-671
E-mail: biamia@mail.ru
Kutnenko Olga AndreevnaPhD. , Associate Professor
Position: Senior Research Scientist
Office: Sobolev Institute of Mathematics Siberian Branch Russian Academy of Sciences
Address: 630090, Russia, Novosibirsk, 4, Acad. Koptyug Avenue
E-mail: olga@math.nsc.ru
SPIN-code: 7600-1424
Levanov Dmitry AlexandrovichPosition: Student
Office: Sobolev Institute of Mathematics SB RAS
Address: 630090, Russia, Novosibirsk, 4 Acad. Koptyug avenue
E-mail: levanov@gmail.com
