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Missing Data Imputation, Classification and Clustering
Development of Hybrid Techniques Using Neural Networks
Language
English
English
Book
Paperback
While performing data analysis the data must be complete. Unfortunately, the problem analysts face i...
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Libristo code: 38571312
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While performing data analysis the data must be complete. Unfortunately, the problem analysts face is that they are not able to get complete data - perhaps data is missing. Many mechanisms are there to deal with incomplete data. In this book, hybrid techniques were discussed to find out the missing data and to impute the values. For imputation, hybrid techniques were introduced. The classification and clustering been considered and implemented using optimization based neural networks concepts.
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About the book
Full name
Missing Data Imputation, Classification and Clustering
Author
Rajani Rajalingam
Language
English
English
Binding
Book - Paperback
Date of issue
2021
Number of pages
156
EAN
9786204205502
Libristo code
38571312
Publishers
LAP Lambert Academic Publishing
Dimensions
150 x 220
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