[Set Online Social Network Analysis, Vol 1-3], Binxing Fang, Jia-Yan Yao
Автор: Adams Niall Название: Data Analysis for Network Cyber-Security ISBN: 1783263741 ISBN-13(EAN): 9781783263745 Издательство: World Scientific Publishing Рейтинг: Цена: 12989.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious activity.Such work involves the intersection of statistics, data mining and computer science. Fundamentally, network traffic is relational, embodying a link between devices. As such, graph analysis approaches are a natural candidate. However, such methods do not scale well to the demands of real problems, and the critical aspect of the timing of communications events is not accounted for in these approaches.This book gathers papers from leading researchers to provide both background to the problems and a description of cutting-edge methodology. The contributors are from diverse institutions and areas of expertise and were brought together at a workshop held at the University of Bristol in March 2013 to address the issues of network cyber security. The workshop was supported by the Heilbronn Institute for Mathematical Research.
Автор: Bhatnagar Название: Data Mining And Analysis In The Engineering Field ISBN: 1466660864 ISBN-13(EAN): 9781466660861 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization.Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.
Автор: Rokia Missaoui; Talel Abdessalem; Matthieu Latapy Название: Trends in Social Network Analysis ISBN: 331953419X ISBN-13(EAN): 9783319534190 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking.
Автор: Reda Alhajj; Jon Rokne Название: Encyclopedia of Social Network Analysis and Mining ISBN: 1493971301 ISBN-13(EAN): 9781493971305 Издательство: Springer Рейтинг: Цена: 286498.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This encyclopedia integrates fundamental concepts and research directions in social networks and their application to data mining. Some 300 entries span the broad field of social network construction and analysis as a multidisciplinary domain.
Автор: Edward J. Rzempoluck Название: Neural Network Data Analysis Using Simulnet™ ISBN: 0387982558 ISBN-13(EAN): 9780387982557 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the analysis of data using neural networks. This book discusses neural network functions such as multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalized regression neural networks, learning quantizer networks, and self-organizing feature maps.
Автор: Gao, Ming (east China Normal Univ, China) Lim, Ee-peng (singapore Management Univ, S`pore) Lo, David (singapore Management Univ, S`pore) Название: Network data mining and analysis ISBN: 9813274956 ISBN-13(EAN): 9789813274952 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site -- actions which generate mind-boggling amounts of data every day.
To make sense of the massive data from these sites, we resort to social media mining to answer questions like the following:
What are social communities in bipartite graphs and signed graphs?
How robust are the networks? How can we apply the robustness of networks?
How can we find identical social users across heterogeneous social networks?
Social media shatters the boundaries between the real world and the virtual world. We can now integrate social theories with computational methods to study how individuals interact with each other and how social communities form in bipartite and signed networks. The uniqueness of social media data calls for novel data mining techniques that can effectively handle user generated content with rich social relations. The study and development of these new techniques are under the purview of social media mining, an emerging discipline under the umbrella of data mining. Social Media Mining is the process of representing, analyzing, and extracting actionable patterns from social media data.
Автор: Raj P.m., Krishna Mohan, Ankith Srinivasa, K.g. Название: Practical social network analysis with python ISBN: 3319967452 ISBN-13(EAN): 9783319967455 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание: This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis.With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks.This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain.
Автор: Lin Yuming Et Al Название: Opinion Analysis For Online Reviews ISBN: 9813100443 ISBN-13(EAN): 9789813100442 Издательство: World Scientific Publishing Рейтинг: Цена: 9187.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
Автор: Lin Yuming Et Al Название: Opinion Analysis For Online Reviews ISBN: 9813100435 ISBN-13(EAN): 9789813100435 Издательство: World Scientific Publishing Рейтинг: Цена: 15523.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
Автор: Luckey Название: Membrane Structural Biology ISBN: 1107030633 ISBN-13(EAN): 9781107030633 Издательство: Cambridge Academ Рейтинг: Цена: 9346.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook provides a strong foundation and comprehensive overview for students and an invaluable synthesis of cutting-edge research for working scientists. This second edition is expanded to include and make accessible all the latest developments and topics, with more than twenty new high resolution structures. Links between membrane research and human health are emphasised throughout.
Описание: Now expanded and updated with modern best practices, this is the most complete guide to Microsoft's DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You'll learn exactly what happens under the hood when you run a DAX expression, and use this knowledge to write fast, robust code. This edition focuses on examples you can build and run with the free Power BI Desktop, and helps you make the most of the powerful syntax of variables (VAR) in Power BI, Excel, or Analysis Services. Want to leverage all of DAX's remarkable capabilities? This no-compromise "deep dive" is exactly what you need.
Perform powerful data analysis with DAX for Power BI, SQL Server, and Excel - Master core DAX concepts, including calculated columns, measures, and calculation groups - Work efficiently with basic and advanced table functions - Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions - Perform time-based calculations - Use calculation groups and calculation items - Use syntax of variables (VAR) to write more readable, maintainable code - Express diverse and unusual relationships with DAX, including many-to-many relationships and bidirectional filters - Master advanced optimization techniques, and improve performance in aggregations - Optimize data models to achieve better compression - Measure DAX query performance with DAX Studio and learn how to optimize your DAX
Описание: Discusses the issues that the agricultural industry currently faces and the technological opportunities that can be explored to help protect and predict crop growth and achieve more resilient agricultural processes. The book analyses the impact of agricultural pollution and food insecurity and proposes solutions to promote sustainability.
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