| 期刊全稱 | Big Data Preprocessing | | 期刊簡稱 | Enabling Smart Data | | 影響因子2023 | Julián Luengo,Diego García-Gil,Francisco Herrera | | 視頻video | http://file.papertrans.cn/186/185655/185655.mp4 | | 發(fā)行地址 | 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 | | 圖書封面 |  | | 影響因子 | 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 | | Pindex | Book 2020 |
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