IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Deep Learning for Big Data Analytics

Deep Learning for Big Data Analytics
View Sample PDF
Author(s): Priti Srinivas Sajja (Sardar Patel University, India) and Rajendra Akerkar (Western Norway Research Institute, Norway)
Copyright: 2019
Pages: 21
Source title: Nature-Inspired Algorithms for Big Data Frameworks
Source Author(s)/Editor(s): Hema Banati (Dyal Singh College, India), Shikha Mehta (Jaypee Institute of Information Technology, India) and Parmeet Kaur (Jaypee Institute of Information Technology, India)
DOI: 10.4018/978-1-5225-5852-1.ch001

Purchase

View Deep Learning for Big Data Analytics on the publisher's website for pricing and purchasing information.

Abstract

Traditional approaches like artificial neural networks, in spite of their intelligent support such as learning from large amount of data, are not useful for big data analytics for many reasons. The chapter discusses the difficulties while analyzing big data and introduces deep learning as a solution. This chapter discusses various deep learning techniques and models for big data analytics. The chapter presents necessary fundamentals of an artificial neural network, deep learning, and big data analytics. Different deep models such as autoencoders, deep belief nets, convolutional neural networks, recurrent neural networks, reinforcement learning neural networks, multi model approach, parallelization, and cognitive computing are discussed here, with the latest research and applications. The chapter concludes with discussion on future research and application areas.

Related Content

Deep Learning for Big Data Analytics
Priti Srinivas Sajja, Rajendra Akerkar. © 2019. 21 pages.
View Details View Details PDF Full Text View Sample PDF
Genetic Algorithm Based Pre-Processing Strategy for High Dimensional Micro-Array Gene Classification: Application of Nature Inspired Intelligence
Deepak Singh, Dilip Singh Sisodia, Pradeep Singh. © 2019. 25 pages.
View Details View Details PDF Full Text View Sample PDF
Subspace Clustering of High Dimensional Data Using Differential Evolution
Parul Agarwal, Shikha Mehta. © 2019. 28 pages.
View Details View Details PDF Full Text View Sample PDF
Nature Inspired Feature Selector for Effective Data Classification in Big Data Frameworks
Appavu Alias Balamurugan Subramanian. © 2019. 18 pages.
View Details View Details PDF Full Text View Sample PDF
Motion Planning of Non-Holonomic Wheeled Robots Using Modified Bat Algorithm
Abhishek Ghosh Roy, Pratyusha Rakshit. © 2019. 30 pages.
View Details View Details PDF Full Text View Sample PDF
Application of Nature-Inspired Algorithms for Sensing Error Optimisation in Dynamic Environment
Sumitra Mukhopadhyay, Soumyadip Das. © 2019. 46 pages.
View Details View Details PDF Full Text View Sample PDF
Wolf-Swarm Colony for Signature Gene Selection Using Weighted Objective Method
Prativa Agarwalla, Sumitra Mukhopadhyay. © 2019. 26 pages.
View Details View Details PDF Full Text View Sample PDF
Body Bottom