Boris Galitsky's Books

Artificial Intelligence for Customer Relationship Management

Solving Customer Problems

By: Boris Galitsky

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Artificial Intelligence for Customer Relationship Management

Solving Customer Problems

By: Boris Galitsky

The second volume of this research monograph describes a number of applications of Artificial Intelligence in the field of Customer Relationship Management with the focus of solving customer problems. We design a system that tries to understand the customer complaint, his mood, and what can be done to resolve an issue with the product or service. To solve a customer problem efficiently, we maintain a dialogue with the customer so that the problem can be clarified and multiple ways to fix it can be sought. We introduce dialogue management based on discourse analysis: a systematic linguistic way to handle the thought process of the author of the content to be delivered. We analyze user sentiments and personal traits to tailor dialogue management to individual customers. We also design a number of dialogue scenarios for CRM with replies following certain patterns and propose virtual and social dialogues for various modalities of communication with a customer. After we learn to detect fake content, deception and hypocrisy, we examine the domain of customer complaints. We simulate mental states, attitudes and emotions of a complainant and try to predict his behavior. Having suggested graph-based formal representations of complaint scenarios, we machine-learn them to identify the best action the customer support organization can chose to retain the complainant as a customer.

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474

Publisher

Springer Nature

Published Date

ISBN 10

303061641X

ISBN 13

9783030616410

Developing Enterprise Chatbots

Learning Linguistic Structures

By: Boris Galitsky

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Developing Enterprise Chatbots

Learning Linguistic Structures

By: Boris Galitsky

A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees

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566

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Springer

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ISBN 10

3030042995

ISBN 13

9783030042998

Artificial Intelligence for Healthcare Applications and Management

By: Boris Galitsky,Saveli Goldberg

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Artificial Intelligence for Healthcare Applications and Management

By: Boris Galitsky,Saveli Goldberg

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients. - Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment - Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis - Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare - Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields - Introduces medical discourse analysis for a high-level representation of health texts

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550

Publisher

Academic Press

Published Date

ISBN 10

0128245220

ISBN 13

9780128245224

For the Motherland! For Stalin!

A Red Army Officer's Memoir of the Eastern Front

By: Boris Bogachev

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For the Motherland! For Stalin!

A Red Army Officer's Memoir of the Eastern Front

By: Boris Bogachev

Boris Bogachev's highly readable account of life as a young platoon commander during the Great Patriotic War of 1941-45 makes for a fascinating read. The son of a Soviet military commissar, Bogachev volunteered to fight as soon as reached the age of seventeen. Life in the Red Army was harsh, with food shortages, inadequate equipment and fear - not only of the well-armed enemy ahead, but also of the trigger-happy political officers behind. Bogachev fought in many campaigns throughout the war, including the 15-month Rzhev salien meat-grinder which resulted in huge Soviet losses. On three occasions he was threatened with execution. Three times he was wounded. Determined and resourceful, he managed to obtain papers authorizing him to have his wounds treated in hospital, but instead smuggled himself aboard a train to travel across Russia to visit his family in Kazakhstan before returning to the front. Boris Bogachev, who retired from the Soviet army in 1984 as a much-decorated colonel, tells his story of the hell that was the Eastern Front with freshness and candor. He vividly conveys the wide gap between ideology and reality in Stalin's Russia, the warm camaraderie among those who fought the Nazis and his horror at the inhumanity of war.

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Page Count

460

Publisher

Oxford University Press

Published Date

ISBN 10

1849047979

ISBN 13

9781849047975

The Role of the Soviet Union in the Second World War

A Re-examination

By: Boris Sokolov

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The Role of the Soviet Union in the Second World War

A Re-examination

By: Boris Sokolov

This book investigates several controversial issues regarding the role of the Soviet Union and the performance of the Soviet government and Red Army, to which the author provides some provocative answers. The primary question explored by the author, however, regards the effectiveness of both the Red Army and of the Soviet military economy. Dr. Sokolov argues that the chief defect of the Soviet military economy was the disproportionate emphasis on the production of tanks and aircraft at the expense of transportation means and the means of command and control. This leads the author to look at the role of Lend-Lease during the war. Through the delivery of radio sets, trucks, jeeps, locomotives, fuel, explosives and so on, the author concludes that Lend-Lease was critical to the Red Army, and that the Soviet Union would not have been able to wage a long war against Germany without the Lend-Lease supplies - a conclusion that defies decades of Soviet claims to the contrary. Finally, the author looks at the still very controversial and hot topic of Red Army losses in the war, which was taboo for decades, arguing that this is an effective measure of the Red Army's military performance. He and other scholars have estimated that the Red Army's losses were on the scale of 27 million, three times larger than the official estimates, and approximately 10 times greater than the German losses on the Eastern Front. He argues that such horrendous casualties and such an unfavorable ratio for the Red Army were the result of the relatively low value placed on human life in both the Russian Empire and the Soviet Union, and the much more destructive nature of the Soviet totalitarian regime as compared with the Third Reich, which cowed the Soviet generals and officers into total subservience. Due to the elimination of all political opposition and the total control over people's lives, soldiers and civilians could not protest against the crude tactics that resulted in such a very high rate of losses. Dr. Boris Sokolov is a prolific author and a member of the Russian branch of PEN International, which celebrates literature and promotes freedom of expression. In 2008, Dr. Sokolov was forced to resign as Professor of Social Anthropology from his post at the Russian State Social University in Moscow at the demand of President Medvedev's administration after publishing an article about the 2008 Russian-Georgian War. The author of 69 books (as of 2012), his work has focused on the history of the Second World War and has also written biographies of such prominent military and political leaders as Bulgakov, Stalin, Molotov, Beria, Tukhachevsky, Rokossovsky and Zhukov. In addition, he has written numerous articles on history, philology, political science and economics. A prominent specialist in the problems of military losses, military economy and strategy, he has given lectures in Russia, Estonia, Latvia and Denmark, and his books and articles have been translated into numerous languages. He currently resides in Moscow and is working on a biography of Marshal Rodion Malinovsky. Stuart Britton is a freelance translator and editor residing in Cedar Rapids, Iowa. He has been responsible for making a growing number of Russian titles available to readers of the English language, consisting primarily of memoirs by Red Army veterans and recent historical research concerning the Eastern Front of the Second World War and Soviet air operations in the Korean War. Notable recent titles include Valeriy Zamulin's award-winning 'Demolishing the Myth: The Tank Battle at Prokhorovka, Kursk, July 1943: An Operational Narrative ' (Helion, 2011), Boris Gorbachevsky's 'Through the Maelstrom: A Red Army Soldier's War on the Eastern Front 1942-45' (University Press of Kansas, 2008) and Yuri Sutiagin's and Igor Seidov's 'MiG Menace Over Korea: The Story of Soviet Fighter Ace Nikolai Sutiagin' (Pen & Sword Aviation, 2009). Future books will include Svetlana Gerasimova's analysis of the prolonged and savage fighting against Army Group Center in 1942-43 to liberate the city of Rzhev, and more of Igor Seidov's studies of the Soviet side of the air war in Korea, 1951-1953.

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Page Count

168

Publisher

Helion and Company

Published Date

ISBN 10

1909384712

ISBN 13

9781909384712

Visual Knowledge Discovery and Machine Learning

By: Boris Kovalerchuk

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Visual Knowledge Discovery and Machine Learning

By: Boris Kovalerchuk

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.

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Page Count

332

Publisher

Springer

Published Date

ISBN 10

3319730401

ISBN 13

9783319730400

WKB Approximation in Atomic Physics

By: Boris Mikhailovich Karnakov,Vladimir Pavlovich Krainov

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WKB Approximation in Atomic Physics

By: Boris Mikhailovich Karnakov,Vladimir Pavlovich Krainov

This book has evolved from lectures devoted to applications of the Wentzel - Kramers – Brillouin- (WKB or quasi-classical) approximation and of the method of 1/N −expansion for solving various problems in atomic and nuclear physics. The intent of this book is to help students and investigators in this field to extend their knowledge of these important calculation methods in quantum mechanics. Much material is contained herein that is not to be found elsewhere. WKB approximation, while constituting a fundamental area in atomic physics, has not been the focus of many books. A novel method has been adopted for the presentation of the subject matter, the material is presented as a succession of problems, followed by a detailed way of solving them. The methods introduced are then used to calculate Rydberg states in atomic systems and to evaluate potential barriers and quasistationary states. Finally, adiabatic transition and ionization of quantum systems are covered.

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180

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Springer Science & Business Media

Published Date

ISBN 10

3642315585

ISBN 13

9783642315589

Artificial Intelligence for Healthcare Applications and Management

By: Boris Galitsky,Saveli Goldberg

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Artificial Intelligence for Healthcare Applications and Management

By: Boris Galitsky,Saveli Goldberg

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550

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Academic Press

Published Date

ISBN 10

0128245220

ISBN 13

9780128245224

Developing Enterprise Chatbots

Learning Linguistic Structures

By: Boris Galitsky

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Developing Enterprise Chatbots

Learning Linguistic Structures

By: Boris Galitsky

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566

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Springer

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ISBN 10

3030042995

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9783030042998

Artificial Intelligence for Customer Relationship Management

Keeping Customers Informed

By: Boris Galitsky

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Artificial Intelligence for Customer Relationship Management

Keeping Customers Informed

By: Boris Galitsky

This research monograph brings AI to the field of Customer Relationship Management (CRM) to make a customer experience with a product or service smart and enjoyable. AI is here to help customers to get a refund for a canceled flight, unfreeze a banking account or get a health test result. Today, CRM has evolved from storing and analyzing customers’ data to predicting and understanding their behavior by putting a CRM system in a customers’ shoes. Hence advanced reasoning with learning from small data, about customers’ attitudes, introspection, reading between the lines of customer communication and explainability need to come into play. Artificial Intelligence for Customer Relationship Management leverages a number of Natural Language Processing (NLP), Machine Learning (ML), simulation and reasoning techniques to enable CRM with intelligence. An effective and robust CRM needs to be able to chat with customers, providing desired information, completing their transactions and resolving their problems. It introduces a systematic means of ascertaining a customers’ frame of mind, their intents and attitudes to determine when to provide a thorough answer, a recommendation, an explanation, a proper argument, timely advice and promotion or compensation. The author employs a spectrum of ML methods, from deterministic to statistical to deep, to predict customer behavior and anticipate possible complaints, assuring customer retention efficiently. Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals.

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453

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Springer Nature

Published Date

ISBN 10

3030521672

ISBN 13

9783030521677

Artificial Intelligence for Customer Relationship Management

Solving Customer Problems

By: Boris Galitsky

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Artificial Intelligence for Customer Relationship Management

Solving Customer Problems

By: Boris Galitsky

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474

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Springer Nature

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ISBN 10

303061641X

ISBN 13

9783030616410

Computational Autism

By: Boris Galitsky

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Computational Autism

By: Boris Galitsky

This book explores and evaluates accounts and models of autistic reasoning and cognition from a computational standpoint. The author investigates the limitations and peculiarities of autistic reasoning and sets out a remediation strategy to be used by a wide range of psychologists and rehabilitation personnel and will also be appreciated by computer scientists who are interested in the practical implementation of reasoning. The author subjects the Theory of Mind (ToM) model to a formal analysis to investigate the limitations of autistic reasoning and proposes a formal model regarding mental attitudes and proposes a method to help those with autism navigate everyday living. Based on the concept of playing with computer based mental simulators, the NL_MAMS, is examined to see whether it is capable of modeling mental and emotional states of the real world to aid the emotional development of autistic children. Multiple autistic theories and strategies are also examined for possible computational cross-overs, providing researchers with a wide range of examples, tools and detailed case studies to work from. Computational Autism will be an essential read to behavioral specialists, researcher’s, developers and designers who are interested in understanding and tackling the increasing prevalence of autism within modern society today.

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Page Count

386

Publisher

Springer

Published Date

ISBN 10

3319399721

ISBN 13

9783319399720

Book's by Boris Galitsky

Artificial Intelligence for Customer Relationship Management

Artificial Intelligence for Customer Relationship Management

Developing Enterprise Chatbots

Developing Enterprise Chatbots

Artificial Intelligence for Healthcare Applications and Management

Artificial Intelligence for Healthcare Applications and Management

For the Motherland! For Stalin!

For the Motherland! For Stalin!

The Role of the Soviet Union in the Second World War

The Role of the Soviet Union in the Second World War

Visual Knowledge Discovery and Machine Learning

Visual Knowledge Discovery and Machine Learning

WKB Approximation in Atomic Physics

WKB Approximation in Atomic Physics

Artificial Intelligence for Healthcare Applications and Management

Artificial Intelligence for Healthcare Applications and Management

Developing Enterprise Chatbots

Developing Enterprise Chatbots

Artificial Intelligence for Customer Relationship Management

Artificial Intelligence for Customer Relationship Management

Artificial Intelligence for Customer Relationship Management

Artificial Intelligence for Customer Relationship Management

Computational Autism

Computational Autism

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