Big Data Analytics
Tools and Technology for Effective Planning
Series: Chapman & Hall/CRC Big Data Series;
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 26 October 2017
- ISBN 9781138032392
- Binding Hardback
- No. of pages413 pages
- Size 254x178 mm
- Weight 900 g
- Language English
- Illustrations 150 Illustrations, black & white; 126 Halftones, black & white; 24 Line drawings, black & white; 53 Tables, black & white 0
Categories
Short description:
This book discusses various aspects of Big Data Analytics. It deliberates upon the tools, technology, applications, use cases and research directions in the field. Chapters are contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.
MoreLong description:
The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.
MoreTable of Contents:
Challenges in Big Data. Challenges in Big Data Analytics. Bigdata Reference Model. A Survey of Big Data Analytics Tools. Understanding Data Science Behind Business Analytics. Big Data Predictive Modelling and Analytics. Deep Learning for Engineering Big Data analytics. A Framework for Minimising Data Leakage from Non-Production Systems. Big Data acquisition, preparation and analysis using Apache Software Foundation Projects. Storing and Analysing Streaming Data; A Big Data Challenge. Bigdata Cluster Analysis: A Study of Existing Techniques and Future Directions. Nonlinear feature extraction for Big Data Analytics. Enhanced Feature Mining and Classifier Models to predict Customer Churn for an E-retailer. Large-Scale Entity Clustering on Knowledge Graphs for Topic Discovery and Exploration. Big Data Analytics for Connected Intelligence with the Internet of Things. Bigdata, Internet traffic, and Website value co-creation. From hype to reflective practice-The possibilities and challenges of big data analysis in humanities research
