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Salvador García, Dieg García-Gil, Diego García-Gil, Francisco Herrera, Juliá Luengo, Julián Luengo...
Big Data Preprocessing - Enabling Smart Data
English · Paperback / Softback
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Description
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.
This book stresses the gap that exists between big, raw data and the requirements of quality data that businesses are demanding. This is called Smart Data, and to achieve Smart Data the preprocessing is a key step, where the imperfections, integration tasks and other processes are carried out to eliminate superfluous information. The authors present the concept of Smart Data through data preprocessing in Big Data scenarios and connect it with the emerging paradigms of IoT and edge computing, where the end points generate Smart Data without completely relying on the cloud.
Finally, this book provides some novel areas of study that are gathering a deeper attention on the Big Data preprocessing. Specifically, it considers the relation with Deep Learning (as of a technique that also relies in large volumes of data), the difficulty of finding the appropriate selection and concatenation of preprocessing techniques applied and some other open problems.
Practitioners and data scientists who work in this field, and want to introduce themselves to preprocessing in large data volume scenarios will want to purchase this book. Researchers that work in this field, who want to know which algorithms are currently implemented to help their investigations, may also be interested in this book.
List of contents
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.-
About the author
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).
Product details
Authors | Salvador García, Dieg García-Gil, Diego García-Gil, Francisco Herrera, Juliá Luengo, Julián Luengo, Ramírez-Gallego, Sergio Ramírez-Gallego |
Publisher | Springer, Berlin |
Languages | English |
Product format | Paperback / Softback |
Released | 31.03.2021 |
EAN | 9783030391072 |
ISBN | 978-3-0-3039107-2 |
No. of pages | 186 |
Dimensions | 156 mm x 12 mm x 237 mm |
Illustrations | XIII, 186 p. 57 illus., 54 illus. in color. |
Subject |
Natural sciences, medicine, IT, technology
> IT, data processing
> IT
|
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