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Qualitative_Bankruptcy Data Set
Download: Data Folder, Data Set Description

Abstract: Predict the Bankruptcy from Qualitative parameters from experts.

Data Set Characteristics:  

Multivariate

Number of Instances:

250

Area:

Computer

Attribute Characteristics:

N/A

Number of Attributes:

7

Date Donated

2014-02-09

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

89737


Source:

Source Information
-- Creator : Mr.A.Martin(jayamartin '@' yahoo.com)
Mr.J.Uthayakumar (uthayakumar17691 '@' gmail.com)
Mr.M.Nadarajan(nadaraj.muthuvel '@' gmail.com)
-- Guided By : Dr.V.Prasanna Venkatesan
-- Institution : Sri Manakula Vinayagar Engineering College and Pondicherry University
-- Country : India
-- Date : February 2014


Data Set Information:

The parameters which we used for collecting the dataset is referred from the paper 'The discovery of experts’ decision rules from qualitative bankruptcy data using genetic algorithms' by Myoung-Jong Kim*, Ingoo Han.


Attribute Information:

Attribute Information: (P=Positive,A-Average,N-negative,B-Bankruptcy,NB-Non-Bankruptcy)

1. Industrial Risk: {P,A,N}
2. Management Risk: {P,A,N}
3. Financial Flexibility: {P,A,N}
4. Credibility: {P,A,N}
5. Competitiveness: {P,A,N}
6. Operating Risk: {P,A,N}
7. Class: {B,NB}


Relevant Papers:

The parameters which we used for collecting the dataset is referred from the paper 'The discovery of experts’ decision rules from qualitative bankruptcy data using genetic algorithms' by Myoung-Jong Kim*, Ingoo Han.



Citation Request:

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