Identifying the potential for failure of businesses in the technology, pharmaceutical and banking sectors using kernel-based machine learning methods

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2009, Pages 1073-1077

  Athavale, Yashodhan ^a   Krishnan, Sridhar ^a   Hosseinizadeh, Pouyan ^a   Guergachi, Aziz ^b  

^a RYERSON UNIVERSITY   (Canada)

^b RYERSON UNIVERSITY   (Canada)

Author keywords

Collapse versus survival; Financial time series; Fisher kernels; Gaussian probability model

Indexed keywords

BANKING SECTORS; BASIC IDEA; FINANCIAL TIME SERIES; FISHER KERNELS; GAUSSIAN PROBABILITY; KERNEL BASED METHODS; MACHINE LEARNING METHODS; STOCK MARKET; TWO-DIMENSIONAL FEATURES;

COMMERCE; CYBERNETICS; DATA VISUALIZATION; DRUG PRODUCTS; ECONOMICS; FINANCIAL DATA PROCESSING; TIME SERIES; TWO DIMENSIONAL;

TIME SERIES ANALYSIS;

EID: 74849116061     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5345982     Document Type: Conference Paper

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