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Big Data Preprocessing
Enabling Smart Data
Langbeschreibung
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.
Hauptbeschreibung
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
Inhaltsverzeichnis
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.
Julián Luengo received the M.S. degree in computer science and the Ph.D. from the University of Granada, Granada, Spain, in 2006 and 2011 respectively. He currently acts as an Assistant Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada, Spain. His research interests include machine learning and data mining, data preparation in knowledge discovery and data mining, missing values, noisy data, data complexity and fuzzy systems. Dr. Luengo has been given some awards and honors for his personal work or for his publications in and conferences, such as IFSA-EUSFLAT 2009 Best Student Paper Award. He belongs to the list of the Highly Cited Researchers in the area of Computer Sciences (2015- 2018) (Clarivate Analytics).
ISBN-13:
9783030391041
Veröffentl:
2020
Erscheinungsdatum:
17.03.2020
Seiten:
200
Autor:
Julián Luengo
Gewicht:
471 g
Format:
241x160x17 mm
Sprache:
Englisch