کتابخانه

Title: Big Data Analytics: Tools and Technology for Effective Planning | Author(s): Arun K. Somani (ed.), Ganesh Chandra Deka (ed.) | Publisher: CRC Press | Year: 2017 | Edition: 1 | Language: English | Pages: 413 | ISBN: 1138032395, 9781138032392 ID: 2176713 | Size: 31 MB | Extension: pdf

Features

Chapters contributed by Academics, Researchers and Practitioners from various reputed universities and organizations

Focuses on presenting ideas in simple manner

Provides case studies and use cases for practitioners

Highlights a complete set of related topic for researchers in big data

Lots of References for further reading and research on big data analytics

Summary

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.

Table 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