| 2018-04060-0001 |
Tersedia di Perpustakaan Universitas Pelita Bangsa
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The major subjects of the book cover modeling, analysis and efficient management of information in Internet of Everything (IoE) applications and architectures. As the first book of its kind, it addresses the major new technological developments in the field and will reflect current research trends, as well as industry needs. It comprises of a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports and best practices in utilizing IoE applications. It also provides technical/scientific information about various aspects of IoE technologies, ranging from basic concepts to research grade material, including future directions.
The major subjects of the book cover modeling, analysis and efficient management of information in Internet of Everything (IoE) applications and architectures.
IBM® Spectrum Virtualize is a key member of the IBM SpectrumTM Storage portfolio. It is a highly flexible storage solution that enables rapid deployment of block storage services for new and traditional workloads, on-premises, off-premises and in a combination of both. IBM Spectrum VirtualizeTM for Public Cloud is a brand new offering that provides the IBM Spectrum Virtualize functionality in IBM Cloud. This new capability provides a monthly license to deploy and use Spectrum Virtualize in IBM Cloud to enable hybrid cloud solutions, offering the ability to transfer data between on-premises private clouds or data centers and the public cloud. This IBM RedpaperTM publication gives a broad understanding of IBM Spectrum Virtualize for Public Cloud architecture and provides planning and implementation details of the common use cases for this new product. This publication helps storage and networking administrators plan and implement install, tailor, and configure IBM Spectrum Virtualize for Public Cloud offering. It also provides a detailed description of troubleshooting tips.
IBM® Spectrum Virtualize is a key member of the IBM SpectrumTM Storage portfolio.
Development of tourism industry in Indonesia.
Development of tourism industry in Indonesia.
This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.
This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications.
The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points.
This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest.
This expert guide covers what you need to know to program with Visual Basic 2008, employ the latest Visual Studio 2008 tools, and operate efficiently within the .NET Framework. In an easy-to-follow style, the book moves from in-depth explanations to practical instruction to real-world examples. Explore basic coding in VB 2008 and learn to build interfaces without coding by using Visual Studio 2008's drag-and-drop visual tools. You?ll get up to speed on LINQ and handle key tasks such as programming TreeView controls, and more.
This expert guide covers what you need to know to program with Visual Basic 2008, employ the latest Visual Studio 2008 tools, and operate efficiently within the .NET Framework.
An ideal first dictionary that gives learners all the help they need to use new vocabulary correctly.
An ideal first dictionary that gives learners all the help they need to use new vocabulary correctly.
