Comparison between rough set theory and logistic regression for classifying firm’s performance
Superior prediction and classification in determining company’s performance are major concerns for practitioners and academic researchers due to the importance of providing useful information to shareholders and potential investors. The general practice is to analyze firm’s performance based on f...
| Main Authors: | Bahtiar Jamili Zaini, Siti Mariyam Shamsuddin, Saiful Hafizah Jaaman |
|---|---|
| Format: | Article |
| Published: |
Penerbit ukm
2008
|
| Online Access: | http://journalarticle.ukm.my/1862/ http://journalarticle.ukm.my/1862/ |
Similar Items
-
Logistic regression methods for classification of imbalanced data sets
by: Santi Puteri Rahayu, -
Published: (2012) -
The identification of oreochromis niloticus feeding behaviour through the integration of photoelectric sensor and logistic regression classifier
by: Mohamad Radzi, Mohd Sojak, et al.
Published: (2018) -
Logistics regression a self-learning text
by: Kleibaum
Published: (2002) -
Applying Rough Set Theory for Student Clustering on Assessment Datasets
by: Suhirman, na, et al.
Published: (2013) -
A comparative study of apriori and rough classifier for data mining
by: Mohamad Farhan Mohamad Mohsin,, et al.
Published: (2008)