Chilukuri K. Mohan's Books

Anomaly Detection Principles and Algorithms

By: Kishan G. Mehrotra,Chilukuri K. Mohan,HuaMing Huang

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Anomaly Detection Principles and Algorithms

By: Kishan G. Mehrotra,Chilukuri K. Mohan,HuaMing Huang

This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.

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Page Count

229

Publisher

Springer

Published Date

ISBN 10

3319675265

ISBN 13

9783319675268

Elements of Artificial Neural Networks

By: Kishan Mehrotra,Chilukuri K. Mohan,Sanjay Ranka

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Elements of Artificial Neural Networks

By: Kishan Mehrotra,Chilukuri K. Mohan,Sanjay Ranka

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.

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Page Count

376

Publisher

MIT Press

Published Date

ISBN 10

0262133288

ISBN 13

9780262133289

Frontiers of Expert Systems

Reasoning With Limited Knowledge

By: Chilukuri K. Mohan

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Frontiers of Expert Systems

Reasoning With Limited Knowledge

By: Chilukuri K. Mohan

Beginning with the central topics of logic, uncertainty and rule-based reasoning, each chapter in the book presents a different perspective on how we may solve problems that arise due to limitations in the knowledge of an expert system's reasoner.".

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Page Count

322

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0792378156

ISBN 13

9780792378150

Book's by Chilukuri K. Mohan

Anomaly Detection Principles and Algorithms

Anomaly Detection Principles and Algorithms

Elements of Artificial Neural Networks

Elements of Artificial Neural Networks

Frontiers of Expert Systems

Frontiers of Expert Systems

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