Classification and Modeling with Linguistic Information Granules : Advanced Approaches to Linguistic Data Mining
Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and modeling, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.
Chaos and fractals : New frontiers of science
Covers the central ideas and concepts of chaos and fractals as well as many related topics including: the Mandelbrot set, Julia sets, cellular automata, L-systems, percolation and strange attractors.
Case-Based Approximate Reasoning
Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More precisely, CBR proceeds from individual experiences in the form of cases. The generalization beyond these experiences typically relies on a kind of regularity assumption demanding that 'similar problems have similar solutions'. Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR. This way, the book contributes to a solid foundation of CBR which is grounded on formal concepts and techniques from the aforementioned fields. Besides, it establishes interesting relationships between CBR and approximate reasoning, which not only cast new light on existing methods but also enhance the development of novel approaches and hybrid systems.
Building Spring 2 Enterprise Applications
This book covers the first steps of using Spring while discussing the relevant technologies that Spring can be integrated with, what to be aware of, and how working with Spring makes them easier to use. Focuses on the most useful features of Spring, including persistence and transaction management as well as the complete Spring web tools portfolio. Introduces three-tier application design and how to test these designs.
Building Online Communities with Drupal, phpBB, and WordPress
Content management, blogs, and online forums are among the most significant online trends today, and Drupal, phpBB, and WordPress are three of the most popular open source applications facilitating these trends. Drupal is a full content management system that allows you to create any type of website you desire, from an e-commerce to a community-based site. phpBB enables you to set up a bulletin board or forum. And WordPress is the software of choice for the exploding blog community. All three technologies are based on PHP and MySQL.
Building an Enterprise Architecture Practice : Tools, Tips, Best Practices, Ready-to-Use Insights
This book clearly describes how to establish an architecture practice that delivers value for an organization. The authors demonstrate a wealth of experience and a deep understanding of the multifaceted nature of this challenging task and they provide sound advice on how to avoid the many pitfalls that may be encountered along the way. Building an Enterprise Architecture Practice provides practical advice on how to develop your enterprise architecture practice.
Blog Design Solutions
In this book, a team of renowned web designers take you through the ins and outs of putting together great blogs. They waste no time harking on about the philosophy of blogs, or the community behind them. Instead, they get straight to the practical details, showing how to set up a basic blog in some of the world's most popular blogging engines Movable Type, ExpressionEngine, WordPress, and Textpattern. With your blog set up, they then show you how to build great looking, usable layouts for your blog. The last chapter even shows you how to build your very own PHP/MySQL-based blog engine!
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 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.
Benefit/Cost-Driven Software Development : With Benefit Points and Size Points
This book presents a set of basic techniques for estimating the benefit of IT development projects and portfolios. It also offers methods for monitoring how much of that estimated benefit is being achieved during projects. Readers can then use these benefit estimates together with cost estimates to create a benefit/cost index to help them decide which functionalities to send into construction and in what order. This allows them to focus on constructing the functionality that offers the best value for money at an early stage.
Beginning VB .NET Databases : From novice to professional
Visual Basic .NET is a powerful .NET programming language that is often considered the “workhorse” of programming. Further, development in VB .NET accounts for a huge portion of all programming efforts. To understand VB .NET is to meet challenging programming projects head-on. Author Dan Maharry livens the topic with his unique style, and presents you with the skill set you want and need, to enter today's VB .NET programming jobs. This book is an ideal read for beginning and intermediate VB .NET students who want to understand the core of VB .NET and database programming.
Beginning Ubuntu Linux : From novice to professional
Beginning Ubuntu Linux is the perfect guide for those switching to the world's favorite Linux. The new edition has been thoroughly updated to cover technology introduced in the 6.10 release. You'll learn how to install Linux, set up your hardware and software, customize the desktop experience, browse the Web and send/receive e-mail, play back audio and video, edit digital images, use the OpenOffice.org office suite, and more.
Beginning PHP and MySQL E-Commerce : From novice to professional
Beginning PHP and MySQL E-Commerce: From Novice to Professional, Second Edition covers every step of the design and building process involved in creating powerful, extendable e–commerce web sites. Based around a real–world example involving a web site selling t–shirts, you'll learn how to create and manage a product catalog, build and integrate a shopping cart, and process customer accounts and PayPal/credit card transactions. With the e–commerce framework in place, authors Emilian Balanescu and Cristian Darie show you how to integrate advanced features sure to set your web site apart from the competition. You'll learn how to expand your catalog using Amazon Web Services, optimize the web site for the search engines, and take advantage of Ajax to build an even more user–friendly shopping cart.
Beginning Java™ SE 6 Platform : From novice to professional
Beginning Java™ SE 6 Platform: From Novice to Professional steers you through the maze of Java Standard Edition (SE) 6 features. The first chapter sets the stage by introducing Java SE 6 in terms of its name change, themes, an overview, and a sampling of new features. It also briefly discusses the first two Java SE 6 updates.
Beginning IntelliJ IDEA : Integrated development environment for Java programming
Shows you how to leverage IntelliJ’s tools to develop clean, efficient Java applications. The last portion of the book focuses on application testing and deployment, and language- and framework- specific guidelines. After reading this book and working through its freely available source code, you'll be up to speed with this powerful IDE for today's Java development. You will: Use IntelliJ IDEA to build Java applications / Set up your IDE and project / Work with source code / Extend your Java application to data science and other kinds of applications / Test and deploy your application and much more
Beginning deep learning with TensorFlow : Work with Keras, MNIST data sets, and advanced neural networks
Stats with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you’ll jump into simple classification programs for hand-writing analysis. Once you’ve tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you’ll get into the heavy lifting of programming neural networks and working with a wide variety of neural network types such as GANs and RNNs. Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer! You will: Develop using deep learning algorithms Build deep learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications
Beginning CakePHP : From novice to professional
CakePHP is a leading PHP–based web app development framework. When asking a question on forums or chat rooms, many CakePHP beginners get little help from the experts. Simple questions can get a response like, “Well, just read the online manual and API.” Unfortunately, the online manual is depreciated, and who wants to absorb a programming language or framework from an API? Beginning CakePHP will do the following: Lead you from a basic setup of CakePHP to building a couple applications that will highlight CakePHP’s functionality and capabilities without delving too deeply into the PHP language, but rather what the CakePHP framework can offer the developer. Teach you to use CakePHP by incorporating advanced features into your web development projects.
Beginning Apache Struts: From novice to professional
Beginning Apache Struts will provide you a working knowledge of Apache Struts 1.2. This book is ideal for you Java programmers who have some JSP familiarity, but little or no prior experience with Servlet technology. Organized in a condensed tutorial and lab format, the material in this book has been tested in real classroom environments. It takes a step-by-step, hands-on approach to teaching you Struts. The book even previews the next generation of Struts, the Apache Shale. The overall result is that you can quickly apply Struts to your work settings with confidence.



















