Integrating Deep Learning Algorithms To Overcome Challenges In Big Data Analytics

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Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

R. Sujatha,S. L. Aarthy,R. Vettriselvan
Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics Book PDF

Author : R. Sujatha,S. L. Aarthy,R. Vettriselvan
Publisher : CRC Press
Page : 216 pages
File Size : 45,9 Mb
Release : 2021-09-22
Category : Technology & Engineering
ISBN : 9781000454536

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Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics by R. Sujatha,S. L. Aarthy,R. Vettriselvan Pdf

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems. This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval. FEATURES Provides insight into the skill set that leverages one’s strength to act as a good data analyst Discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and help in decision-making Covers numerous potential applications in healthcare, education, communication, media, and entertainment Offers innovative platforms for integrating Big Data and Deep Learning Presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval from Big Data This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.

Deep Learning: Convergence to Big Data Analytics

Murad Khan,Bilal Jan,Haleem Farman
Deep Learning Convergence to Big Data Analytics Book PDF

Author : Murad Khan,Bilal Jan,Haleem Farman
Publisher : Springer
Page : 79 pages
File Size : 48,7 Mb
Release : 2018-12-30
Category : Computers
ISBN : 9789811334597

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Deep Learning: Convergence to Big Data Analytics by Murad Khan,Bilal Jan,Haleem Farman Pdf

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various challenges, such as fast, accurate and efficient processing of big data in real-time. In addition, the Internet of Things is progressively increasing in various fields, like smart cities, smart homes, and e-health. As the enormous number of connected devices generate huge amounts of data every day, we need sophisticated algorithms to deal, organize, and classify this data in less processing time and space. Similarly, existing techniques and algorithms for deep learning in big data field have several advantages thanks to the two main branches of the deep learning, i.e. convolution and deep belief networks. This book offers insights into these techniques and applications based on these two types of deep learning. Further, it helps students, researchers, and newcomers understand big data analytics based on deep learning approaches. It also discusses various machine learning techniques in concatenation with the deep learning paradigm to support high-end data processing, data classifications, and real-time data processing issues. The classification and presentation are kept quite simple to help the readers and students grasp the basics concepts of various deep learning paradigms and frameworks. It mainly focuses on theory rather than the mathematical background of the deep learning concepts. The book consists of 5 chapters, beginning with an introductory explanation of big data and deep learning techniques, followed by integration of big data and deep learning techniques and lastly the future directions.

Deep Learning in Data Analytics

Debi Prasanna Acharjya,Anirban Mitra,Noor Zaman
Deep Learning in Data Analytics Book PDF

Author : Debi Prasanna Acharjya,Anirban Mitra,Noor Zaman
Publisher : Springer Nature
Page : 271 pages
File Size : 52,9 Mb
Release : 2021-08-11
Category : Technology & Engineering
ISBN : 9783030758554

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Deep Learning in Data Analytics by Debi Prasanna Acharjya,Anirban Mitra,Noor Zaman Pdf

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society. Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.

Advanced Deep Learning Applications in Big Data Analytics

Bouarara, Hadj Ahmed
Advanced Deep Learning Applications in Big Data Analytics Book PDF

Author : Bouarara, Hadj Ahmed
Publisher : IGI Global
Page : 351 pages
File Size : 44,8 Mb
Release : 2020-10-16
Category : Computers
ISBN : 9781799827931

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Advanced Deep Learning Applications in Big Data Analytics by Bouarara, Hadj Ahmed Pdf

Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.

Big Data Analysis for Green Computing

Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Big Data Analysis for Green Computing Book PDF

Author : Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Publisher : CRC Press
Page : 186 pages
File Size : 49,8 Mb
Release : 2021-10-29
Category : Computers
ISBN : 9781000481778

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Big Data Analysis for Green Computing by Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham Pdf

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics. Big Data Analysis for Green Computing: Concepts and Applications presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It also includes the use of machine learning using big data and discusses advanced system implementation for smart cities. The book is intended for business and management educators, management researchers, doctoral scholars, university professors, policymakers, and higher academic research organizations.

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Aboul Ella Hassanien,Ashraf Darwish
Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges Book PDF

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 648 pages
File Size : 47,5 Mb
Release : 2020-12-14
Category : Computers
ISBN : 9783030593384

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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by Aboul Ella Hassanien,Ashraf Darwish Pdf

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Soft Computing: Theories and Applications

Rajesh Kumar,Ajit Kumar Verma,Tarun K. Sharma,Om Prakash Verma,Sanjay Sharma
Soft Computing Theories and Applications Book PDF

Author : Rajesh Kumar,Ajit Kumar Verma,Tarun K. Sharma,Om Prakash Verma,Sanjay Sharma
Publisher : Springer Nature
Page : 929 pages
File Size : 40,8 Mb
Release : 2023-04-24
Category : Technology & Engineering
ISBN : 9789811998584

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Soft Computing: Theories and Applications by Rajesh Kumar,Ajit Kumar Verma,Tarun K. Sharma,Om Prakash Verma,Sanjay Sharma Pdf

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2022), held at University Institute of Technology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.

Third Congress on Intelligent Systems

Sandeep Kumar,Harish Sharma,K. Balachandran,Joong Hoon Kim,Jagdish Chand Bansal
Third Congress on Intelligent Systems Book PDF

Author : Sandeep Kumar,Harish Sharma,K. Balachandran,Joong Hoon Kim,Jagdish Chand Bansal
Publisher : Springer Nature
Page : 850 pages
File Size : 42,5 Mb
Release : 2023-05-18
Category : Technology & Engineering
ISBN : 9789811993794

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Third Congress on Intelligent Systems by Sandeep Kumar,Harish Sharma,K. Balachandran,Joong Hoon Kim,Jagdish Chand Bansal Pdf

This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Deep Learning Innovations and Their Convergence With Big Data

Karthik, S.,Paul, Anand,Karthikeyan, N.
Deep Learning Innovations and Their Convergence With Big Data Book PDF

Author : Karthik, S.,Paul, Anand,Karthikeyan, N.
Publisher : IGI Global
Page : 265 pages
File Size : 46,9 Mb
Release : 2017-07-13
Category : Computers
ISBN : 9781522530169

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Deep Learning Innovations and Their Convergence With Big Data by Karthik, S.,Paul, Anand,Karthikeyan, N. Pdf

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

Artificial Intelligence and Cybersecurity

Ishaani Priyadarshini,Rohit Sharma
Artificial Intelligence and Cybersecurity Book PDF

Author : Ishaani Priyadarshini,Rohit Sharma
Publisher : CRC Press
Page : 222 pages
File Size : 48,5 Mb
Release : 2022-02-04
Category : Technology & Engineering
ISBN : 9781000530636

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Artificial Intelligence and Cybersecurity by Ishaani Priyadarshini,Rohit Sharma Pdf

Artificial intelligence and cybersecurity are two emerging fields that have made phenomenal contributions toward technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book incorporates recent developments that artificial intelligence brings to the cybersecurity world. Artificial Intelligence and Cybersecurity: Advances and Innovations provides advanced system implementation for Smart Cities using artificial intelligence. It addresses the complete functional framework workflow and explores basic and high-level concepts. The book is based on the latest technologies covering major challenges, issues and advances, and discusses intelligent data management and automated systems. This edited book provides a premier interdisciplinary platform for researchers, practitioners and educators. It presents and discusses the most recent innovations, trends and concerns as well as practical challenges and solutions adopted in the fields of artificial intelligence and cybersecurity.

ICT and Data Sciences

Archana Singh,Vinod Kumar Shukla,Ashish Seth,Sai Sabitha
ICT and Data Sciences Book PDF

Author : Archana Singh,Vinod Kumar Shukla,Ashish Seth,Sai Sabitha
Publisher : CRC Press
Page : 294 pages
File Size : 42,7 Mb
Release : 2022-05-15
Category : Computers
ISBN : 9781000550344

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ICT and Data Sciences by Archana Singh,Vinod Kumar Shukla,Ashish Seth,Sai Sabitha Pdf

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

MULTIPLY BUSINESS RESULTS WITH ARTIFICIAL INTELLIGENCE

DAVID SANDUA
MULTIPLY BUSINESS RESULTS WITH ARTIFICIAL INTELLIGENCE Book PDF

Author : DAVID SANDUA
Publisher :
Page : 186 pages
File Size : 45,9 Mb
Release : 2023-09-04
Category : Business & Economics
ISBN : 8210379456XXX

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MULTIPLY BUSINESS RESULTS WITH ARTIFICIAL INTELLIGENCE by DAVID SANDUA Pdf

In an increasingly competitive and dynamic business world, artificial intelligence (AI) is the catalyst that can multiply your results. This book is an essential guide that will take you by the hand to understand how AI can transform every corner of your business. From automating routine tasks and freeing up your employees' time to using predictive analytics to optimize the supply chain, AI becomes an invaluable tool. The book also addresses how AI can improve data-driven decision making, enabling companies to identify growth opportunities and potential risks with never-before-seen accuracy. In the realm of customer service, you'll discover how chatbots and AI algorithms can personalize interactions, elevating customer satisfaction and thereby increasing sales. In addition, it does not skirt the ethical and privacy challenges that come with AI adoption, offering strategies for ethical and secure use of data. It also addresses the skills and talent gaps in AI adoption, providing strategies for fostering a culture of AI adoption in your company. If you are looking for a competitive advantage and aspire to exponential growth, this book is your map to the future. It gives you not only an overview of the AI landscape in business, but also practical and actionable strategies for implementing AI in your company effectively. In short, it's a must-read for any business leader who wants to be at the forefront of the technology revolution.

Handbook of Sustainable Development Through Green Engineering and Technology

Vikram Bali,Rajni Mohana,Ahmed A. Elngar,Sunil Kumar Chawla,Gurpreet Singh
Handbook of Sustainable Development Through Green Engineering and Technology Book PDF

Author : Vikram Bali,Rajni Mohana,Ahmed A. Elngar,Sunil Kumar Chawla,Gurpreet Singh
Publisher : CRC Press
Page : 283 pages
File Size : 46,6 Mb
Release : 2022-09-27
Category : Technology & Engineering
ISBN : 9781000449235

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Handbook of Sustainable Development Through Green Engineering and Technology by Vikram Bali,Rajni Mohana,Ahmed A. Elngar,Sunil Kumar Chawla,Gurpreet Singh Pdf

Green engineering involves the designing, innovation, and commercialization of products and processes which promote sustainability without eliminating both efficiency and economic viability. This handbook focuses on sustainable development through green engineering and technology. It is intended to address the applications and issues involved in their practical implementation. A new range of renewable-energy technologies, modified to provide green engineering, will be described in this handbook. It will explore all green technologies required to provide green engineering for the future.These include, but are not limited to, green smart buildings, fuel-efficient transportation, paperless offices, and many more energy-efficient measures. Handbook of Sustainable Development through Green Engineering and Technology acts as a comprehensive reference book to use when identifying development for programs and sustainable initiatives within the current legislative framework. It aims to be of great interest to researchers, faculty members, and students across the globe.

Green Computing in Network Security

Deepak Kumar Sharma,Koyel Datta Gupta,Rinky Dwivedi
Green Computing in Network Security Book PDF

Author : Deepak Kumar Sharma,Koyel Datta Gupta,Rinky Dwivedi
Publisher : CRC Press
Page : 187 pages
File Size : 53,9 Mb
Release : 2022-01-10
Category : Technology & Engineering
ISBN : 9781000511918

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Green Computing in Network Security by Deepak Kumar Sharma,Koyel Datta Gupta,Rinky Dwivedi Pdf

This book focuses on green computing-based network security techniques and addresses the challenges involved in practical implementation. It also explores the idea of energy-efficient computing for network and data security and covers the security threats involved in social networks, data centers, IoT, and biomedical applications. Green Computing in Network Security: Energy Efficient Solutions for Business and Home includes analysis of green-security mechanisms and explores the role of green computing for secured modern internet applications. It discusses green computing-based distributed learning approaches for security and emphasizes the development of green computing-based security systems for IoT devices. Written with researchers, academic libraries, and professionals in mind so they can get up to speed on network security, the challenges, and implementation processes.

Handbook of Green Computing and Blockchain Technologies

Kavita Saini,Manju Khari
Handbook of Green Computing and Blockchain Technologies Book PDF

Author : Kavita Saini,Manju Khari
Publisher : CRC Press
Page : 204 pages
File Size : 44,5 Mb
Release : 2021-12-27
Category : Technology & Engineering
ISBN : 9781000515312

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Handbook of Green Computing and Blockchain Technologies by Kavita Saini,Manju Khari Pdf

This handbook provides a computational perspective on green computing and blockchain technologies. It presents not only how to identify challenges using a practical approach but also how to develop strategies for addressing industry challenges. Handbook of Green Computing and Blockchain Technologies takes a practical-oriented approach, including solved examples and highlights standardization, industry bodies, and initiatives. Case studies provide a deeper understanding of blockchain and are related to real-time scenarios. The handbook analyzes current research and development in green computing and blockchain analytics, studies existing related standards and technologies, and provides results on implementation, challenges, and issues in today’s society. FEATURES Analyzes current research developments in green computing and blockchain analytics Provides an analysis of implementation challenges and solutions Offers innovations in the decentralization process for the application of blockchain in areas such as healthcare, government services, agriculture, supply chain, financial, ecommerce, and more Discusses the impact of this technology on people’s lives, the way they work and learn, and highlights standardization, industry bodies, and initiatives This handbook will benefit researchers, software developers, and undergraduate and postgraduate students in industrial systems, manufacturing, information technology, computer science, manufacturing, communications, and electrical engineering.