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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 technologies
Solving modern biological problems requires advanced computational methods. Bioinformatics evolved from the active interaction of two fast-developing disciplines, biology and information technology. The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information. This book describes the application of well-established concepts and techniques from areas like data mining, machine learning, database technologies, and visualization techniques to problems like protein data analysis, genome analysis and sequence databases. Chen has collected contributions from leading researchers in each area. The chapters can be read independently, as each offers a complete overview of its specific area, or, combined, this monograph is a comprehensive treatment that will appeal to students, researchers, and R&D professionals in industry who need a state-of-the-art introduction into this challenging and exciting young field.
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 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 in Bioeconomy : Results from the European DataBio Project
This book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and sustainable ways to use forest, farm and fishery resources.
Big data analysis of nanoscience bibliometrics, patent, and funding data (2000-2019)
Presents an evaluation of nanotechnologies outputs (academic outputs and patents) and their impact from 2000-2019. The evaluation uses Elsevier’s Scopus (the largest abstract and citation database of peer-reviewed literature), SciVal (a scientific research analysis platform), Funding Institutional (a funding database), and PatentSight (a patent analysis platform). It covers four key topics regarding nanoscience research, including: 1) An overview of nano-related scholarly output, 2) Nanoscience and its contribution to basic science, 3) Nanoscience and its impact on and collaboration with industry partners, and 4) Key factors that promote the development of nanoscience.
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.
Big Data : An Art of Decision Making
Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and exploratory outlook - already well known in the social sciences and the humanities - to convey intelligible results from data analysis algorithms and create new knowledge. Big Data is based on an inquiry of several years within Proxem, a software publisher specializing in big data processing. The book examines how data scientists explore, interpret and visualize our digital traces to make sense of them, and to produce new knowledge. Grounded in epistemology and science and technology studies, Big Data offers a reflection on data in general, and on how they help us to better understand reality and decide on our daily actions.
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.
Best practices in software measurement : How to use metrics to improve project and process performance
Not everything that counts can be counted. Not everything that is counted counts. Albert Einstein This is a book about software measurement from the practitioner’s point of view and it is a book for practitioners. Software measurement needs a lot of practical guidance to build upon experiences and to avoid repeating errors. This book t- gets exactly this need, namely to share experiences in a constructive way that can be followed. It tries to summarize experiences and knowledge about software measurement so that it is applicable and repeatable. It extracts experiences and lessons learned from the narrow context of the specific industrial situation, thus facilitating transfer to other contexts. Software measurement is not at a standstill. With the speed software engine- ing is evolving, software measurement has to keep pace. While the underlying theory and basic principles remain invariant in the true sense (after all, they are not specific to software engineering), the application of measurement to specific contexts and situations is continuously extended. The book thus serves as a ref- ence on these invariant principles as well as a practical guidance on how to make software measurement a success.
Beginning XSLT 2.0 : From novice to professional
This followup to Jeni Tennison's Beginning XSLT has been updated to accomodate the revised XSLT standard. Part one of this book introduces XML and XSLT at a comfortable pace, and gradually demonstrates techniques for generating HTML (plus other formats), from XML. In part two, Tennison applies theory to real-life XSLT capabilities—including generating graphics. Each chapter includes step-by-step examples (with code available online), plus review questions at the end, to help you grasp the discussed features. In fact, all of the examples and exercises revolve around an interesting common theme: making TV listings available online. This book lives up to its name, and will definitely take you from a novice to a professional, in no time!
Beginning XML with DOM and Ajax : From novice to professional
Don't waste time on 1,000-page tomes full of syntax; this book is all you need to get ahead in XML development. Renowned web developer Sas Jacobs presents an essential guide to XML. Beginning XML with DOM and Ajax is practical and comprehensive. It includes everything you need to know to get up to speed with XML development quickly and painlessly.
Beginning xml with C# 2008 : From novice to professional
Beginning XML with C# 2008 focuses on XML and how it is used within .NET 3.5. As you'd expect of a modern application framework, .NET 3.5 has extensive support for XML in everything from data access to configuration, from raw parsing to code documentation. This book demystifies all of this. It explains the basics of XML as well as the namespaces and objects you need to know in order to work efficiently with XML. You will see clear, practical examples that illustrate best practices in action. With this book, you'll learn everything you need to know from the basics of reading and writing XML data to using the DOM, from LINQ and SQL Server integration to SOAP and web services.
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 Programming in VB .NET : From novice to professional
Beginning Web Programming in VB .NET: From Novice to Professional will teach you the fundamentals of the web environment and how Visual Studio .NET (VS .NET) makes it accessible to VB programmers. You'll build a working website that demonstrates all the elements of a VB web application. Author Daniel Cazzulino takes a step-by-step approach to each example to explore the essential technologies and how VS .NET helps to integrate them into a highly interactive, attractive web application.
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 Visual C# 2005 Express ed. : From novice to professional
Wright took the same approach with this book that he did with the VB titles, and inside you'll find a fast–paced guide to the essentials to get you programming fast. You'll learn the C# language and the tools Visual C# 2005 Express provides. He covers everything from simple console programs to code that talks to the Internet, and even how to write your own database programs. Whatever your reasons for wanting to learn to program with C#, this book will get you where you want to be quickly, and hopefully with a smile on your face. So dive in and change the way you use computers forever.
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.
