Big Data Preprocessing
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ISBN-13:
9783030391041
Veröffentl:
2020
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
17.03.2020
Seiten:
200
Autor:
Julián Luengo
Gewicht:
471 g
Format:
241x160x17 mm
Sprache:
Englisch
Beschreibung:
This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms that helps the reader deal with these problems.
One of the first books on preprocessing in Big Data that covers a large amount of significant issues, namely the enumeration and description of some of the most recent solutions to address imbalanced classification, the characteristics of novel problems and applications (with the latest published algorithms), and the implementations of working techniques ready to be used in well-known Big Data
1. Introduction.- 2. Big Data: Technologies and Tools.- 3. Smart Data.- 4. Dimensionality Reduction for Big Data.- 5. Data Reduction for Big Data.- 6. Imperfect Big Data.- 7. Big Data Discretization.- 8. Imbalanced Data Preprocessing for Big Data.- 9. Big Data Software.- 10. Final Thoughts: From Big Data to Smart Data.
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