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Individual and Collective Graph Mining: Principles, Algorithms, and Applications, Danai Koutra, Christos Faloutsos


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Цена: 108110.00T
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Автор: Danai Koutra, Christos Faloutsos
Название:  Individual and Collective Graph Mining: Principles, Algorithms, and Applications
ISBN: 9781681732473
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1681732475
Обложка/Формат: Hardback
Страницы: 206
Вес: 0.58 кг.
Дата издания: 30.10.2017
Серия: Synthesis lectures on data mining and knowledge discovery
Язык: English
Размер: 235 x 191 x 13
Ключевые слова: Algorithms & data structures,Data mining,Information visualization, COMPUTERS / Data Visualization,COMPUTERS / Databases / Data Mining,COMPUTERS / Programming / Algorithms
Подзаголовок: Principles, algorithms, and applications
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Поставляется из: Англии
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.

Numerical Integration of Space Fractional Partial Differential Equations, Volume 2: Applications from Classical Integer PDEs

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)
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Цена: 82230.00 T
Наличие на складе: Нет в наличии.
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.

Optimization: Algorithms and Applications

Автор: Arora Rajesh Kumar
Название: Optimization: Algorithms and Applications
ISBN: 1498721125 ISBN-13(EAN): 9781498721127
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание:

Choose the Correct Solution Method for Your Optimization Problem

Optimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs.

The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden-Fletcher-Goldfarb-Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and tabu search methods. The author shows how to solve non-convex multi-objective optimization problems using simple modifications of the basic PSO code. The book also introduces multidisciplinary design optimization (MDO) architectures--one of the first optimization books to do so--and develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems. In addition, it examines Gomory's cutting plane method, the branch-and-bound method, and Balas' algorithm for integer programming problems.

The author follows a step-by-step approach to developing the MATLAB(R) codes from the algorithms. He then applies the codes to solve both standard functions taken from the literature and real-world applications, including a complex trajectory design problem of a robot, a portfolio optimization problem, and a multi-objective shape optimization problem of a reentry body. This hands-on approach improves your understanding and confidence in handling different solution methods. The MATLAB codes are available on the book's CRC Press web page.


Handbook of Research on Emergent Applications of Optimization Algorithms

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)
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Цена: 432430.00 T
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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.

Link Mining: Models, Algorithms, and Applications

Автор: Philip S. Yu; Jiawei Han; Christos Faloutsos
Название: Link Mining: Models, Algorithms, and Applications
ISBN: 1493901478 ISBN-13(EAN): 9781493901470
Издательство: Springer
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Цена: 191550.00 T
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Описание: This book offers detailed surveys and systematic discussion of models, algorithms and applications for link mining, focusing on theory and technique, and related applications: text mining, social network analysis, collaborative filtering and bioinformatics.

Algorithms and Applications

Автор: Das
Название: Algorithms and Applications
ISBN: 9811081018 ISBN-13(EAN): 9789811081019
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book presents the proceedings of the Conference on Algorithms and Applications (ALAP 2018), which focuses on various areas of computing, like distributed systems and security, big data and analytics and very-large-scale integration (VLSI) design.

Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining

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
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Цена: 78590.00 T
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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.

Wireless Algorithms, Systems, and Applications

Автор: Chellappan
Название: Wireless Algorithms, Systems, and Applications
ISBN: 3319942670 ISBN-13(EAN): 9783319942674
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book constitutes the proceedings of the 13th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2018, held in Tianjin, China, in June 2018. The 59 full papers and 18 short papers presented in this book were carefully reviewed and selected from 197 submissions.

Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions

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
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Цена: 62330.00 T
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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.


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