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Approach for Improving Similarity Measure
Geeta Tiwari
(Author)
·
Neeraj Tiwari
(Author)
·
LAP Lambert Academic Publishing
· Paperback
Approach for Improving Similarity Measure - Tiwari, Geeta ; Tiwari, Neeraj
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Origin: U.S.A.
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It will be shipped from our warehouse between
Monday, August 12 and
Monday, August 19.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Approach for Improving Similarity Measure"
This book proposes a new method to implement a similarity measures on fuzzylogic for IR. The proposed similarity measures are based on different features of IR system which improves the performance of IR systems. The main strength is to extract most of the features of documents. Fuzzy rules are also designed to make this approach most effective, which transforms the domain knowledge into fuzzy sets. The CACM benchmark dataset is used to validate our proposed similarity measure. The drawback of this approach is that, if more features are used, than the approach will be more complex. This book has significant effort to improve the performance of IR systems.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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