AKERKAR, RAJENDRA's Books

INTRODUCTION TO ARTIFICIAL INTELLIGENCE, Second Edition

By: AKERKAR, RAJENDRA

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INTRODUCTION TO ARTIFICIAL INTELLIGENCE, Second Edition

By: AKERKAR, RAJENDRA

This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and intelligent systems and guides them towards a better understanding of the subject. The text begins with a brief introduction to artificial intelligence, including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, representation and reasoning. The text also lucidly explains AI technologies such as computer vision, natural language processing, pattern recognition and speech recognition. Topics such as expert systems, neural networks, constraint programming and case-based reasoning are also discussed in the book. In the Second Edition, the contents and presentation have been improved thoroughly and in addition six new chapters providing a simulating and inspiring synthesis of new artificial intelligence and an appendix on AI tools have been introduced. The treatment throughout the book is primarily tailored to the curriculum needs of B.E./B.Tech. students in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc. students in Computer Science, and MCA students. The book is also useful for computer professionals interested in exploring the field of artificial intelligence. Key Features • Exposes the readers to real-world applications of AI. • Concepts are duly supported by examples and cases. • Provides appendices on PROLOG, LISP and AI Tools. • Incorporates most recommendations of the Curriculum Committee on Computer Science/Engineering for AI and Intelligent Systems. • Exercises provided will help readers apply what they have learned.

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Page Count

442

Publisher

PHI Learning Pvt. Ltd.

Published Date

ISBN 10

8120349970

ISBN 13

9788120349971

Knowledge-Based Systems

By: Rajendra Akerkar,Priti Sajja

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Knowledge-Based Systems

By: Rajendra Akerkar,Priti Sajja

Knowledge Based Systems (KBS) are systems that use artificial intelligence techniques in the problem solving process. This text is designed to develop an appreciation of KBS and their architecture and to help users understand a broad variety of knowledge based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters are designed to be modular providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material being presented and to stimulate thought and discussion.

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375

Publisher

Jones & Bartlett Learning

Published Date

ISBN 10

0763776475

ISBN 13

9780763776473

Intelligent Technologies for Web Applications

By: Priti Srinivas Sajja,Rajendra Akerkar

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Intelligent Technologies for Web Applications

By: Priti Srinivas Sajja,Rajendra Akerkar

This reference presents both fundamental and advanced topics and related to Web operations. Using an integrated approach, the authors describe the basics as well as latest trends in the area. They cover agent-based Web, wrapper induction, Web mining, information retrieval, Web knowledge management, and social networks. The text includes a host of examples and over 100 illustrations that clarify complex material. It also contains many bibliographical notes, end-of-chapter exercises, glossaries, and practice questions with solutions/hints.

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358

Publisher

CRC Press

Published Date

ISBN 10

1439871647

ISBN 13

9781439871645

Artificial Intelligence for Business

By: Rajendra Akerkar

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Artificial Intelligence for Business

By: Rajendra Akerkar

This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.

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Springer

Published Date

ISBN 10

331997436X

ISBN 13

9783319974361

Building an Intelligent Web: Theory and Practice

Theory and Practice

By: Pawan Lingras,Rajendra Akerkar

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Building an Intelligent Web: Theory and Practice

Theory and Practice

By: Pawan Lingras,Rajendra Akerkar

The World Wide Web has become an extremely popular way of publishing and distributing electronic resources. Though the Web is rich with information, collecting and making sense of this data is difficult because it is rather unorganized. Building an Intelligent Web introduces students and professionals to the state-of-the art development of Web Intelligence techniques and teaches how to apply these techniques to develop the next generation of intelligent Web sites. Each chapter contains theoretical bases, which are also illustrated with the help of simple numeric examples, followed by practical implementation. Students will find Building an Intelligent Web to be an active and exciting introduction to advanced Web mining topics. Topics covered include Web Intelligence, Information Retrieval, Semantic Web, Classification and Association Rules, SQL, Database Theory, Applications to e-commerce and Bioinformatics, Clustering, Modeling Web Topology, and much more!

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Page Count

340

Publisher

Jones & Bartlett Publishers

Published Date

ISBN 10

1449663222

ISBN 13

9781449663223

Artificial Intelligence for Business

By: Rajendra Akerkar

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Artificial Intelligence for Business

By: Rajendra Akerkar

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Springer

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ISBN 10

331997436X

ISBN 13

9783319974361

Knowledge-Based Systems

By: Rajendra Akerkar,Priti Sajja

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Knowledge-Based Systems

By: Rajendra Akerkar,Priti Sajja

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375

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Jones & Bartlett Learning

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ISBN 10

0763776475

ISBN 13

9780763776473

Intelligent Technologies for Web Applications

By: Priti Srinivas Sajja,Rajendra Akerkar

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Intelligent Technologies for Web Applications

By: Priti Srinivas Sajja,Rajendra Akerkar

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358

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CRC Press

Published Date

ISBN 10

1439871647

ISBN 13

9781439871645

Intelligent Techniques for Data Science

By: Rajendra Akerkar,Priti Srinivas Sajja

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Intelligent Techniques for Data Science

By: Rajendra Akerkar,Priti Srinivas Sajja

This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.

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Page Count

282

Publisher

Springer

Published Date

ISBN 10

3319292064

ISBN 13

9783319292069

Models of Computation for Big Data

By: Rajendra Akerkar

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Models of Computation for Big Data

By: Rajendra Akerkar

The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms and the underlying mathematical techniques. There is a need to understand foundational strengths and address the state of the art challenges in big data that could lead to practical impact. The main goal of this book is to introduce algorithmic techniques for dealing with big data sets. Traditional algorithms work successfully when the input data fits well within memory. In many recent application situations, however, the size of the input data is too large to fit within memory. Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications. Most techniques discussed come from research in the last decade. The book will be structured as a sequence of algorithmic ideas, theoretical underpinning, and practical use of that algorithmic idea. Intended for both graduate students and advanced undergraduate students, there are no formal prerequisites, but the reader should be familiar with the fundamentals of algorithm design and analysis, discrete mathematics, probability and have general mathematical maturity.

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110

Publisher

Springer

Published Date

ISBN 10

3319918516

ISBN 13

9783319918518

Swarm Intelligence and Bio-Inspired Computation

12. Bio-Inspired Models for Semantic Web

By: Priti Srinivas Sajja,Rajendra Akerkar

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Swarm Intelligence and Bio-Inspired Computation

12. Bio-Inspired Models for Semantic Web

By: Priti Srinivas Sajja,Rajendra Akerkar

Bio-inspired models have taken inspiration from the nature to solve challenging problems in an intelligent manner. Major aims of such bio-inspired models of computation are to propose new unconventional computing architectures and novel problem solving paradigms. Computing models such as artificial neural network (ANN), genetic algorithm (GA), and swarm intelligence (SI) are major constituent models of the bio-inspired approach. Applications of these models are ubiquitous and hence proposed to be applied for Semantic Web. The chapter discusses fundamentals of these bio-inspired constituents along with some heuristic that can be used to design and implement these constituents and briefly surveys recent applications of these models for the Semantic Web. The study shows that the objective of the Semantic Web is better met with such approach and the Web can be accessed in more human-oriented way. At the end, a generic framework for web content filtering based on neuro-fuzzy approach is presented. By considering online webpages and fuzzy user profile, the proposed system classifies the webpages into vague categories using a neural network.

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Elsevier Inc. Chapters

Published Date

ISBN 10

0128068981

ISBN 13

9780128068984

Book's by AKERKAR, RAJENDRA

INTRODUCTION TO ARTIFICIAL INTELLIGENCE, Second Edition

INTRODUCTION TO ARTIFICIAL INTELLIGENCE, Second Edition

Knowledge-Based Systems

Knowledge-Based Systems

Intelligent Technologies for Web Applications

Intelligent Technologies for Web Applications

Artificial Intelligence for Business

Artificial Intelligence for Business

Building an Intelligent Web: Theory and Practice

Building an Intelligent Web: Theory and Practice

Artificial Intelligence for Business

Artificial Intelligence for Business

Knowledge-Based Systems

Knowledge-Based Systems

Intelligent Technologies for Web Applications

Intelligent Technologies for Web Applications

Intelligent Techniques for Data Science

Intelligent Techniques for Data Science

Models of Computation for Big Data

Models of Computation for Big Data

Swarm Intelligence and Bio-Inspired Computation

Swarm Intelligence and Bio-Inspired Computation

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