Share
Relevance Feature Search for Text Mining
Rekha Kamble
(Author)
·
Shivaprasad More
(Author)
·
LAP Lambert Academic Publishing
· Paperback
Relevance Feature Search for Text Mining - Kamble, Rekha ; More, Shivaprasad
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Monday, July 29 and
Monday, August 05.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Relevance Feature Search for Text Mining"
Relevance Feature Discovery is an innovative model that classifies terms into distinct categories and effectively updates term weights and distribution in patterns, hence boosting text mining performance.The terms that appear more frequently in relevant papers are regarded as positive specific terms. The terms that appear more frequently in irrelevant papers are classified as negative specific terms. The goal of Relevance Feature Discovery is to extract high-quality features that accurately represent the user's demands. This system outperforms term and pattern-based techniques.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
