An Approach for Optimal Feature Subset Selection using a New Term Weighting Scheme and Mutual Information | Zendy

Shine N Das | Zendy; Midhun P Mathew | Zendy; Pramod K. Vijayaraghavan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

An Approach for Optimal Feature Subset Selection using a New Term Weighting Scheme and Mutual Information

Author(s) -

Shine N Das,

Midhun P Mathew,

Pramod K. Vijayaraghavan

Publication year - 2011

Publication title -

international journal on advanced science engineering and information technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 22

eISSN - 2460-6952

pISSN - 2088-5334

DOI - 10.18517/ijaseit.1.3.57

Subject(s) - feature selection , weighting , dimensionality reduction , computer science , feature (linguistics) , relevance (law) , dependency (uml) , mutual information , data mining , pattern recognition (psychology) , artificial intelligence , curse of dimensionality , set (abstract data type) , minimum redundancy feature selection , categorization , feature extraction , medicine , linguistics , philosophy , political science , law , radiology , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research