Автор: Natarajan, Priyamvada Название: The Persuasion Gap ISBN: 0525540997 ISBN-13(EAN): 9780525540991 Издательство: Random House (USA) Рейтинг: Цена: 1563.00 р. Наличие на складе: Нет в наличии.
Автор: Meghanathan Natarajan Название: Advanced Methods for Complex Network Analysis ISBN: 1466699647 ISBN-13(EAN): 9781466699649 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31324.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization.Advanced Methods for Complex Network Analysis features the latest research on the algorithms and analysis measures being employed in the field of network science. Highlighting the application of graph models, advanced computation, and analytical procedures, this publication is a pivotal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.
Автор: Gopal, Priyamvada Название: Insurgent empire ISBN: 1784784133 ISBN-13(EAN): 9781784784133 Издательство: Неизвестно Рейтинг: Цена: 2572.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In 1940, Roy H. Elrod joined the Marine Corps. His unit, the 8th Marine Regiment, went into the fight at Guadalcanal. On D-Day at Tarawa his platoon waded their 37mm cannons ashore through half a mile of bullet-laced surf. At Saipan, Elrod commanded a platoon of 75mm halftracks. Fred H. Allison interviewed Elrod, drew on wartime letters, and provided annotations to his narrative to tell his story.
Автор: Meghanathan Natarajan Название: Graph Theoretic Approaches for Analyzing Large-Scale Social Networks ISBN: 1522528148 ISBN-13(EAN): 9781522528142 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 26334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Social network analysis has created novel opportunities within the field of data science. The complexity of these networks requires new techniques to optimize the extraction of useful information. Graph Theoretic Approaches for Analyzing Large-Scale Social Networks is a pivotal reference source for the latest academic research on emerging algorithms and methods for the analysis of social networks. Highlighting a range of pertinent topics such as influence maximization, probabilistic exploration, and distributed memory, this book is ideally designed for academics, graduate students, professionals, and practitioners actively involved in the field of data science. The many academic areas covered in this publication include, but are not limited to: Content Specific Modeling Distributed Memory Graph Mining Influence Maximization Information Spread Control Link Prediction Probabilistic Exploration
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