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Biological and artificial intelligence environments
The book reports the proceedings of the 15th Italian workshop on neural networks issued by the Italian Society on Neural Networks SIREN. The longevity recipe of this conference stands in three main points that normally renders the reading of these proceedings so interesting as appealing. 1. The topics of the neural networks is considered an attraction pole for a set of researches centered on the inherent paradigm of the neural networks, rather than on a specific tool exclusively. Thus, the subsymbolic management of the data information content constitutes the key feature of papers in various fields such as Pattern Recognition, Stochastic Optimization, Learning, Granular Computing, and so on, with a special bias toward bioinformatics operational applications. An excerpt of all these matters may be found in the book. 2. Though managed at domestic level, the conference attracts contributions from foreign researchers as well, so that in the book the reader may capture the flavor of the state of the art in the international community. 3. The conference is a meeting of friends as well. Thus the papers generally reflect a relaxed atmosphere where researchers meet to generously exchange their thought and explain their actual results in view of a common cultural growing of the community.
Bioinformatics
In this textbook present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.
Big data-enabled internet of things
Covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions. The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.
Big Data Recommender Systems ; Vol.2 : Application Paradigms
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters
Big Data Recommender Systems ; Vol.1 : Algorithms, Architectures, Big Data, Security and Trust
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools.
Big Data Intelligence for Smart Applications
Presents the latest discoveries in the field of machine intelligence and big data Proposes many case studies and applications of computational and Big data Combines theory and practice so that readers of the few books (beginners or experts)
Big Data in Context : Legal, Social and Technological Insights
Sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.
Big data and artificial intelligence in digital finance : Increasing personalization and trust in digital finance using big data and AI
This book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data.
Big Data : Conceptual Analysis and Applications
The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning systems were used.
Beyond the Worst-Case Analysis of Algorithms
There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.
Beginning Web Development, Silverlight, and ASP.NET AJAX : From novice to professional
Beginning Web Development, Silverlight, and ASP.NET AJAX: From Novice to Professional aims to give you the skills you need to start building web applications with Microsoft's next–generation technology as quickly as possible. Whether you're interested in ASP.NET AJAX, Silverlight, or the technologies that support them (WPF, WCF, WF, etc.), this book is the starting point that you need. It adopts a “zero to hero” approach that concentrates on achieving practical results you can use in real projects rather than presenting a deep academic treatment that can't be immediately applied.
Beginning Web Development with Perl
Beginning Perl Web Development: From Novice to Professional introduces you to the world of Perl Internet application development. This book tackles all areas crucial to developing your first web applications and includes a powerful combination of real-world examples coupled with advice. Topics range from serving and consuming RSS feeds, to monitoring Internet servers, to interfacing with e-mail. You'll learn how to use Perl with ancillary packages like Mason and Nagios. Though not version-specific, this book is an ideal read if you have had some grounding in Perl basics and now want to move into the world of web application development. Author Steve Suehring emphasizes the security implications of Perl, drawing on years of experience teaching readers how to think safe, avoid common pitfalls, and produce well-planned, secure code.
Beginning Visual Web Developer 2005 Express : From novice to professional
The primary goal of this book is to demonstrate Visual Web Developer 2005 Expresss effectiveness when developing applications. The secondary goal is to examine how coding best-practices can be applied with this new product. Beginning Visual Web Developer 2005 Express provides a rigorous overview of the application: how it operates, how it compares to the other versions of Visual Studio .NET 2005 now available, and the best way to use it.
Beginning VB 2008 Databases : From novice to professional
Beginning VB 2008 Databases teaches you everything you need to know about relational databases, SQL, and ADO.NET 2.0, giving you a sound start in developing console and Windows database applications. The book also includes chapters on the SQL Server XML data type and the LINQ enhancements to the next version of Visual Basic. In addition to teaching you database basics like using SQL to communicate with databases, this book provides you with detailed, code-practical techniques to access data in Visual Basic 2008 across a range of coding situations. Code-heavy and full of practical detail, this book has been fully revised and upgraded for .NET 3.5 and offers you the best contemporary practice in this core programming area, so that you'll find yourself using it in nearly all your .NET projects.
Beginning VB 2005 Databases : From novice to professional
Beginning Visual Basic 2005 Databases teaches you everything you need to know about relational databases, SQL, and ADO.NET 2.0, giving you a sound start in developing console and Windows database applications. The book also includes chapters on the new SQL Server XML data type and the forthcoming LINQ enhancements to the next version of Visual Basic.
Beginning SQL Server 2005 Express database applications with Visual Basic Express and Visual Web Developer Express : From novice to professional
SQL Server 2005 Express is the database component of Microsoft's Express Suite of products. It is free of charge, inherits many (non-enterprise) features from SQL Server 2005, and comes complete with development and administration tools. As such, it is an ideal database for developers and administrators to use in prototype/evaluation projects. It is also a powerful development platform for database applications on nonprofit websites, e-commerce sites, and in small offices and departments.
Beginning Scala 3 : A functional and Object-Oriented Java Language
Introduces you to the Scala programming language, its object-oriented and functional programming characteristics, and then guides you through Scala constructs and libraries that allow you to assemble small components into high-performance, scalable systems. You will understand why Scala is judiciously used for critical business applications by leading companies such as Twitter, LinkedIn, Foursquare, the Guardian, Morgan Stanley, Credit Suisse, UBS, and HSBC – and you will be able to use it in your own projects. You will: Get started with Scala 3 or Scala language programming in general / Understand how to utilitze OOP in Scala / Perform functional programming in Scala / Master the use of Scala collections, traits and implicits / Leverage Java and Scala interopability / Employ Scala for DSL programming / Use patterns and best practices in Scala
Beginning Ruby on Rails E-Commerce : From novice to professional
Beginning Ruby on Rails E-Commerce: From Novice to Professional is the first book of its kind to guide you through producing e-commerce applications with Rails, the stacked web framework taking the world by storm. The book dives right into the process of creating a production-level web application using agile methodologies and test-driven development combined with Rails best practices.
Beginning REALbasic : From novice to professional
REALbasic is an easy-to-learn, powerful, cross-platform programming language, allowing you to write powerful applications that can be distributed across Windows, Mac, and Linux. REALbasic’s success is proven - there are already over 100,000 users, and this number is steadily growing. In a recent promotional effort, 35,000 Visual Basic developers downloaded a free copy of the Windows version of REALbasic, and REAL software has had many requests for decent beginning title on the subject. As far as we know, this is the only up-to-date book planned for the current version, REALbasic 2005, which matches that description. REAL software are enthusiastic about helping us sell the book.
Beginning Rails : From novice to professional
Beginning Rails is the practical starting point for anyone wanting to learn how to build dynamic web applications using the Rails framework for Ruby. You'll learn how all of the components of Rails fit together and how you can leverage them to create sophisticated web applications with less code and more joy.
