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Více informací o knize Missing Data Imputation, Classification and Clustering

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

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Anotace knihy

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.

Parametry knihy

• Plný název: Missing Data Imputation, Classification and Clustering
• Podnázev: Development of Hybrid Techniques Using Neural Networks
• Autor: Rajani Rajalingam
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 156
• EAN: 9786204205502
• ID: 38571312
• Nakladatelství: LAP Lambert Academic Publishing
• Rozměry: 220 × 150 mm
• Rok vydání: 2021

Oblíbené z jiného soudku

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