K.G. Srinivasa's Books

Guide to High Performance Distributed Computing

Case Studies with Hadoop, Scalding and Spark

By: K.G. Srinivasa,Anil Kumar Muppalla

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Guide to High Performance Distributed Computing

Case Studies with Hadoop, Scalding and Spark

By: K.G. Srinivasa,Anil Kumar Muppalla

This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.

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Page Count

310

Publisher

Springer

Published Date

ISBN 10

3319134973

ISBN 13

9783319134970

Soft Computing for Data Mining Applications

By: K. R. Venugopal,K.G. Srinivasa,L. M. Patnaik

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Soft Computing for Data Mining Applications

By: K. R. Venugopal,K.G. Srinivasa,L. M. Patnaik

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.

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Page Count

354

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3642001920

ISBN 13

9783642001925

A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning

By: Muralidhar Kurni,Mujeeb Shaik Mohammed,Srinivasa K G

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A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning

By: Muralidhar Kurni,Mujeeb Shaik Mohammed,Srinivasa K G

This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.

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Page Count

236

Publisher

Springer Nature

Published Date

ISBN 10

3031326539

ISBN 13

9783031326530

A Beginner’s Guide to Learning Analytics

By: Srinivasa K G,Muralidhar Kurni

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A Beginner’s Guide to Learning Analytics

By: Srinivasa K G,Muralidhar Kurni

This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.

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Page Count

326

Publisher

Springer Nature

Published Date

ISBN 10

3030702588

ISBN 13

9783030702588

Confluence of Teaching and Learning through Digital Pedagogy

By: Srinivasa K G,Siddesh G M,Ganeshayya Shidaganti

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Confluence of Teaching and Learning through Digital Pedagogy

By: Srinivasa K G,Siddesh G M,Ganeshayya Shidaganti

The book provides educators with a road plan for integrating technology into their classrooms. It includes important pedagogical elements, historical settings, and useful tactics throughout the course of ten chapters. For a variety of educational contexts, each chapter offers strategies and evidence-based techniques ranging from creating engaging learning environments to fostering student engagement. This thorough guide provides educators with the necessary knowledge and abilities to effectively integrate technology and optimize learning outcomes, through case studies and real-world situations. Educators gain the knowledge to flourish in the digital age through conversations about cutting-edge teaching techniques, evaluation approaches, and upcoming trends. This book is their indispensable guide for influencing the direction of education, regardless of your experience level with digital pedagogy. Start on a quest to apply innovative pedagogical techniques in the classroom that will change your method of instruction, motivate students, and enable you to embrace the endless possibilities of digital learning.

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Page Count

306

Publisher

Cambridge Scholars Publishing

Published Date

ISBN 10

1036409414

ISBN 13

9781036409418

Recent Advances in Environmental Science

By: K. G. Hiremath

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Recent Advances in Environmental Science

By: K. G. Hiremath

The book contains articles covering a wide range of subjects of environmental science. The terrestrial section has articles on air pollution, solid waste ground water regime, western ghats, eastern ghats, mining, medicinal, plants, ethnobotany, role of pesticides, agriculture, microbial sensors, wetlands and ornithological studies. The marine environmental aspect such as mangroves, application of remote sensing, harmful algal blooms, bio-remediation, sustainable management of molluscan resources, benthic fauna, deep seabed mining and bio-fouling have been dealt in the marine environment section.

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Page Count

496

Publisher

Discovery Publishing House

Published Date

ISBN 10

8171416799

ISBN 13

9788171416790

Micro- and Macro-Properties of Solids

Thermal, Mechanical and Dielectric Properties

By: Dinker B. Sirdeshmukh,Lalitha Sirdeshmukh,K. G. Subhadra

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Micro- and Macro-Properties of Solids

Thermal, Mechanical and Dielectric Properties

By: Dinker B. Sirdeshmukh,Lalitha Sirdeshmukh,K. G. Subhadra

This book addresses the most important aspects of solid state physics, reviewing basic properties, related experimental techniques, and summarizing research over six decades. In addition, Micro- and Macro-Properties of Solids provides data on new materials such as rare-earth metals, semiconductors, ferroelectrics, mixed-valence compounds, superionic conductors, optical and optoelectronic materials and biomaterials.

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Page Count

415

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540317864

ISBN 13

9783540317869

Atomistic Properties of Solids

By: Dinker B. Sirdeshmukh,Lalitha Sirdeshmukh,K.G. Subhadra

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Atomistic Properties of Solids

By: Dinker B. Sirdeshmukh,Lalitha Sirdeshmukh,K.G. Subhadra

The book deals with atomistic properties of solids which are determined by the crystal structure, interatomic forces and atomic displacements influenced by the effects of temperature, stress and electric fields. The book gives equal importance to experimental details and theory. There are full chapters dedicated to the tensor nature of physical properties, mechanical properties, lattice vibrations, crystal structure determination and ferroelectricity. The other crystalline states like nano-, poly-, liquid- and quasi crystals are discussed. Several new topics like nonlinear optics and the Rietveld method are presented in the book. The book lays emphasis on the role of symmetry in crystal properties. Comprehensiveness is the strength of the book; this allows users at different levels a choice of chapters according to their requirements.

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Page Count

628

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3642199712

ISBN 13

9783642199714

Clay Mineral Catalysis of Organic Reactions

By: Benny K.G Theng

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Clay Mineral Catalysis of Organic Reactions

By: Benny K.G Theng

The book provides insight into the working of clays and clay minerals in speeding up a variety of organic reactions. Clay minerals are known to have a large propensity for taking up organic molecules and can catalyse numerous organic reactions due to fine particle size, extensive surface area, layer structure, and peculiar charge characteristics. They can be used as heterogeneous catalysts and catalyst carriers of organic reactions because they are non-corrosive, easy to separate from the reaction mixture, and reusable. Clays and clay minerals have an advantage over other solid acids as they are abundant, inexpensive, and non-polluting.

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Page Count

402

Publisher

CRC Press

Published Date

ISBN 10

0429879660

ISBN 13

9780429879661

Formal Models, Languages and Applications

By: Madhavan Mukund,K. Rangarajan,K. G. Subramanian

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Formal Models, Languages and Applications

By: Madhavan Mukund,K. Rangarajan,K. G. Subramanian

A collection of articles by leading experts in theoretical computer science, this volume commemorates the 75th birthday of Professor Rani Siromoney, one of the pioneers in the field in India. The articles span the vast range of areas that Professor Siromoney has worked in or influenced, including grammar systems, picture languages and new models of computation. Sample Chapter(s). Chapter 1: Finite Array Automata and Regular Array Grammars (150 KB). Contents: Finite Array Automata and Regular Array Grammars (A Atanasiu et al.); Hexagonal Contextual Array P Systems (K S Dersanambika et al.); Contextual Array Grammars (R Freund et al.); A Cosmic Muse (T Head); Triangular Pasting System (T Kalyani et al.); Petri Nets, Event Structures and Algebra (K Lodaya); Anchored Concatenation of MSCs (M Mukund et al.); On Languages Defined by Numerical Parameters (A Salomaa); Digitalization of Kolam Patterns and Tactile Kolam Tools (S Nagata & R Thamburaj); Pollard''s Rho Split Knowledge Scheme (M K Viswanath & K P Vidya); and other papers. Readership: Researchers in computer science.

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Page Count

420

Publisher

World Scientific

Published Date

ISBN 10

9812773037

ISBN 13

9789812773036

Practical Social Network Analysis with Python

By: Krishna Raj P.M.,Ankith Mohan,K.G. Srinivasa

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Practical Social Network Analysis with Python

By: Krishna Raj P.M.,Ankith Mohan,K.G. Srinivasa

This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis. With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks. This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain.

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Page Count

355

Publisher

Springer

Published Date

ISBN 10

3319967460

ISBN 13

9783319967462

The Grammar of Carnatic Music

By: K. G. Vijayakrishnan

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The Grammar of Carnatic Music

By: K. G. Vijayakrishnan

Biographical note: K.G. Vijayakrishnan, Central Institute of English Foreign Languages, Hyderabad, India.

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Page Count

368

Publisher

Walter de Gruyter

Published Date

ISBN 10

3110183137

ISBN 13

9783110183139

Network Data Analytics

A Hands-On Approach for Application Development

By: K. G. Srinivasa,Siddesh G. M.,Srinidhi H.

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Network Data Analytics

A Hands-On Approach for Application Development

By: K. G. Srinivasa,Siddesh G. M.,Srinidhi H.

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.

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Page Count

406

Publisher

Springer

Published Date

ISBN 10

3319778005

ISBN 13

9783319778006

Book's by K.G. Srinivasa

Guide to High Performance Distributed Computing

Guide to High Performance Distributed Computing

Soft Computing for Data Mining Applications

Soft Computing for Data Mining Applications

A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning

A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning

A Beginner’s Guide to Learning Analytics

A Beginner’s Guide to Learning Analytics

Confluence of Teaching and Learning through Digital Pedagogy

Confluence of Teaching and Learning through Digital Pedagogy

Recent Advances in Environmental Science

Recent Advances in Environmental Science

Micro- and Macro-Properties of Solids

Micro- and Macro-Properties of Solids

Atomistic Properties of Solids

Atomistic Properties of Solids

Clay Mineral Catalysis of Organic Reactions

Clay Mineral Catalysis of Organic Reactions

Formal Models, Languages and Applications

Formal Models, Languages and Applications

Practical Social Network Analysis with Python

Practical Social Network Analysis with Python

The Grammar of Carnatic Music

The Grammar of Carnatic Music

Network Data Analytics

Network Data Analytics

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