Könyv Missing Data Imputation, Classification and Clustering Rajani Rajalingam

Missing Data Imputation, Classification and Clustering

Development of Hybrid Techniques Using Neural Networks

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
21 475 Ft
While performing data analysis the data must be complete. Unfortunately, the problem analysts face i...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2021
oldal
156
EAN
9786204205502
Enbook ID
38571312
Méretek
150 x 220

Teljes leírás

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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