Mohlo by sa vám tiež páčiť

Viac informácií o knihe Clustering Methods for Big Data Analytics

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 373 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Clustering Methods for Big Data Analytics
• Podnázov: Techniques, Toolboxes and Applications
• Autor: Olfa Nasraoui, Chiheb-Eddine Ben N'Cir
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 187
• EAN: 9783319978635
• ISBN: 3319978632
• ID: 19762441
• Nakladateľ: Springer International Publishing AG
• Hmotnosť: 471 g
• Rozmery: 235 × 155 × 15 mm
• Dátum vydania: 08. November 2018

Obľúbené z iného súdka

---

---

---