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Book synopsis

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.

Book details

• Full title: Missing Data Imputation, Classification and Clustering
• Subtitle: Development of Hybrid Techniques Using Neural Networks
• Author: Rajani Rajalingam
• Language: English
• Binding: Paperback
• Number of pages: 156
• EAN: 9786204205502
• ID: 38571312
• Publisher: LAP Lambert Academic Publishing
• Dimensions: 220 × 150 mm
• Published: 2021

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