The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort Collins. The contributions cover topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. Each papers was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe.
Автор: Berkovsky Shlomo, Cantador Ivan, Tikk Domonkos Название: Collaborative Recommendations: Algorithms, Practical Challenges and Applications ISBN: 9813275340 ISBN-13(EAN): 9789813275348 Издательство: World Scientific Publishing Рейтинг: Цена: 258720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.
The unique feature of the compendium is the technical details of collaborative recommenders. The book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.
This must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.
Автор: Mehta Название: Handbook of Data Structures and Applications ISBN: 1584884355 ISBN-13(EAN): 9781584884354 Издательство: Taylor&Francis Рейтинг: Цена: 158230.00 T Наличие на складе: Нет в наличии. Описание: Handbook of Data Structures and Applications responds to the needs of data structure and algorithm researchers by providing a comprehensive survey of data structures of various types. Divided into seven parts, the text begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. It next analyzes miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of applications of data structures.
Автор: Jason J. Jung; Pankoo Kim Название: Big Data Technologies and Applications ISBN: 3319589660 ISBN-13(EAN): 9783319589664 Издательство: Springer Рейтинг: Цена: 39130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed post-conference proceedings of the 7th International Conference on Big data Technologies and Applications, BDTA 2016, held in Seoul, South Korea, in November 2016.
Автор: Dan Wang; Zhu Han Название: Sublinear Algorithms for Big Data Applications ISBN: 3319204475 ISBN-13(EAN): 9783319204475 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The brief focuses on applying sublinear algorithms to manage critical big data challenges. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids.
Автор: Ronny Kohavi; Foster Provost Название: Applications of Data Mining to Electronic Commerce ISBN: 1461356482 ISBN-13(EAN): 9781461356486 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Applications of Data Mining to Electronic Commerce brings together in one place important contributions and up-to-date research results in this fast moving area.
Автор: Pandian Vasant, Sirma Zeynep Alparslan-Gok, Gerhard-Wilhelm Weber Название: Handbook of Research on Emergent Applications of Optimization Algorithms ISBN: 152252990X ISBN-13(EAN): 9781522529903 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 432430.00 T Наличие на складе: Невозможна поставка. Описание: Presents the latest scholarly research on modern optimization techniques for solving complex problems of global optimization and their applications in economics and engineering. Featuring coverage on a broad range of topics and perspectives such as hybrid systems, non-cooperative games, and cryptography, this publication is designed for students, researchers, and engineers.
Автор: Suman Saha, Shailendra Shukla Название: Advanced Data Structures: Theory and Applications ISBN: 1138592609 ISBN-13(EAN): 9781138592605 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The aim of this book is to give basic as well advance understanding of data structure to undergraduate and graduate students. The design of the book is simple. Part I consist of chapters covering the basics of data structure. Part-II covers highly advanced data structure. While part-III covers the applications.
Автор: Emmanouil Amolochitis Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining ISBN: 8793609647 ISBN-13(EAN): 9788793609648 Издательство: Taylor&Francis Рейтинг: Цена: 78590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.
Автор: Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii Tyshchenko Название: Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions ISBN: 1838671749 ISBN-13(EAN): 9781838671747 Издательство: Emerald Рейтинг: Цена: 62330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear.
Автор: Danai Koutra, Christos Faloutsos Название: Individual and Collective Graph Mining: Principles, Algorithms, and Applications ISBN: 1681732475 ISBN-13(EAN): 9781681732473 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 108110.00 T Наличие на складе: Невозможна поставка. Описание: Presents scalable, principled discovery algorithms that combine globality with locality to make sense of one or more graphs. In addition to fast algorithmic methodologies, the book also contribute graph-theoretical ideas and models, and real-world applications in two main areas - Individual Graph Mining and Collective Graph Mining.
Автор: Younes Salehi, William E. Schiesser Название: Numerical Integration of Space Fractional Partial Differential Equations, Volume 2: Applications from Classical Integer PDEs ISBN: 1681732092 ISBN-13(EAN): 9781681732091 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 82230.00 T Наличие на складе: Поставка под заказ. Описание: Partial differential equations are one of the most used widely forms of mathematics in science and engineering. Two fractional PDEs can be considered, fractional in time, and fractional in space. This volume is directed to the development and use of SFPDEs, providing a discussion of applications from classical integer PDEs.
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