<p>This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five VsβVolume, Velocity, Variety, Veracity and Variability. The book explores granular com
Granular Computing based Machine Learning. A Big Data Processing Approach
β Scribed by Han Liu, Mihaela Cocea
- Publisher
- Springer
- Year
- 2018
- Tongue
- English
- Leaves
- 117
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p><p>The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. </p><p>The book focuses on the developm
Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File Sy
<p><i>Machine Learning: A Constraint-Based Approach</i> provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. </p> <p>The book presents the information in a tru