Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications

✍ Scribed by Olfa Nasraoui, Chiheb-Eddine Ben N'Cir

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 192
• Series: Unsupervised and Semi-Supervised Learning
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.

✦ Table of Contents

Front Matter ....Pages i-ix
Overview of Scalable Partitional Methods for Big Data Clustering (Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N’Cir, Nadia Essoussi)....Pages 1-23
Overview of Efficient Clustering Methods for High-Dimensional Big Data Streams (Marwan Hassani)....Pages 25-42
Clustering Blockchain Data (Sudarshan S. Chawathe)....Pages 43-72
An Introduction to Deep Clustering (Gopi Chand Nutakki, Behnoush Abdollahi, Wenlong Sun, Olfa Nasraoui)....Pages 73-89
Spark-Based Design of Clustering Using Particle Swarm Optimization (Mariem Moslah, Mohamed Aymen Ben HajKacem, Nadia Essoussi)....Pages 91-113
Data Stream Clustering for Real-Time Anomaly Detection: An Application to Insider Threats (Diana Haidar, Mohamed Medhat Gaber)....Pages 115-144
Effective Tensor-Based Data Clustering Through Sub-Tensor Impact Graphs (K. Selçuk Candan, Shengyu Huang, Xinsheng Li, Maria Luisa Sapino)....Pages 145-179
Back Matter ....Pages 181-187

✦ Subjects

Engineering; Communications Engineering, Networks; Computational Intelligence; Data Mining and Knowledge Discovery; Big Data/Analytics; Pattern Recognition