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increased agility that is more responsive to change, has lower IT cost to change, and achieves continuous optimization In statistics, the terms Type I error (a error, or false positive) and Type II error (b error, or a false negative) are used to describe possible errors made in a statistical decision process When an observer makes a Type I error in evaluating a sample against its parent population, he/she is mistakenly thinking that a statistical difference exists when in truth there is no statistical difference For example, imagine that a pregnancy test has produced a positive result (indicating that the woman taking the test is pregnant); if the woman is actually not pregnant, however, we say the test produced a false positive AType II error, or a false negative, is the error of failing to reject a null hypothesis when the alternative hypothesis is the true state of nature For example, a Type II error occurs if a pregnancy test reports negative when the woman is, in fact, pregnant Most classi cation systems for predicting bankruptcy have attempted to minimize the misclassi cations The minimizing misclassi cation approach assumes that Type I and Type II error costs of misclassi cation are equal This assumption may be a fallacy Remember that wisdom applied knowledge knowledge experience There is evidence that these costs are not equal and incorporating these costs into the classi cation systems can lead to superior classi cation systems The principles of evolution can be used to develop and test genetic algorithm (GA)-based neural and genetic programming (GP)-based classi cation approaches that incorporate the asymmetric Type I and Type II error costs By applying these arti cial intelligence methods and mechanisms to decision making, it is possible to move toward the smart data wisdom paradigm of knowledge experience, in which data comprise entities that also have attributes Using simulated and real-life bankruptcy data, we compared the results of the proposed approaches with statistical linear discriminant analysis (LDA), backpropagation arti cial neural network (ANN), and a GP-based classi cation approach that does not incorporate the asymmetric misclassi cation cost In essence, we are providing a data strategy map in order to make it easier to chart the course to higher performance We are oving toward wisdom because we are investigating both a linear and nonlinear approach and comparing the two outcomes The results indicate that the proposed approaches, incorporating Type I and Type II error cost asymmetries, result in lower Type I misclassi cations when compared to LDA, ANN, and GP approaches that do not incorporate misclassi cation costs These smart data truths should be self-evident and useful as a common thread among both government and private enterprise The smart data wisdom here is to investigate both the linear and nonlinear approaches and to compare the outcomes for the one that demonstrates the most cost containment We must remember that smart data is the product of engineering, such that it presents itself to the right users at the right place and time in support of planning, problem solving, decision making, sense making, and predicting In this case, there is.

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present three different methods based on H lder exponents and large deviation multifractal spectra that give good results on signals such as fractal functions, road pro les and SAR (radar) images Section 115 explains how H lder exponents may be used to perform data interpolation: the idea is to re ne the resolution in such a way that local regularity is preserved at each point Again, this approach is well adapted to processing irregular signals and images, as we show in examples Section 116 gives an account of the remarkable applications of fractal tools to ECG analysis: links between the condition of the heart and some features of the multifractal spectrum of its ECG, relation between RR signals and their local regularity, etc In section 117, we brie y describe an application of multifractal analysis to texture classi cation, and describe an example of well logs Section 118 is devoted to the presentation of an image segmentation method based on characterizing edges through multifractal analysis The issue of change detection in a sequence of images is dealt with in section 119 As in the contour segmentation application, the idea is to characterize relevant changes through their signatures in the multifractal spectrum As a nal image processing application, we describe in section 1110 a method for reconstructing an image from a speci c subset of pixels selected through multifractal analysis To end this introduction, we should also mention that many of the methods described in this chapter are implemented in the free software toolbox FracLab [FracLab 112 Basic tools 1121 H lder regularity analysis This section focuses on the H lder characterizations of regularity To simplify notations, we assume that our signals are nowhere differentiable Generalization to other signals simply requires the introduction of polynomials in the de nitions (see s 1 and 3).

Draw QR Code In NET Framework Using Barcode creator for ASPNET Control to generate, create QR The performance of the EAD algorithm is compared with the erformance of a simpli ed AODV without sensor mobility, and LEACH algorithms comparing total number of active nodes, UDP packet throughput, and energy expenditure The presented results illustrate that EAD outperforms the other two algorithms with respect to these performance metrics Furthermore, it is shown that there is a tradeoff between system lifetime and system throughput when shorter or longer EAD refresh periods are chosen Small refresh intervals enable better throughput but require more energy Moreover, it is concluded that there is no tradeoff between the initialization and data transmit phases of the EAD algorithm 134.

1122 Reminders on multifractal analysis We brie y state in this section some basic facts about multifractal analysis Multifractal analysis is concerned with the study of the regularity structure of functions or processes, both from a local and global perspective More precisely, we start by measuring in some way the pointwise regularity, usually with some kind of H lder exponent The second step is to give a global description of this regularity This can be done either in a geometric fashion using Hausdorff dimension, or in statistical manner using a large deviation analysis Formally, let X(t), t I R be a deterministic function or a stochastic process on a probability space ( , F, P) For ease of notation, we shall assume without loss of generality that I = [0, 1] We de ne the following functions (these are random functions in general when X is itself random) 11221 Hausdorff multifractal spectrum To simplify notations, set (t) = p (t) The Hausdorff spectrum describes the structure of the function t (t) by evaluating the size of its level sets More precisely, let: T = {t I, (t) = }.

5 Reliable Information Forwarding Using Multiple Paths [23] Data dissemination protocols which are not adaptive to channel error rates and do not support information awareness either spend excessive amount of resources or fail to deliver important information with suf cient reliability Reliable information forwarding using multiple paths (ReInForM) [23] is a protocol for WSNs to support information awareness, such that the reliability of data transfer depends on the information content despite the presence of signi cant channel errors To de ne the desired reliability levels, ReInForM assigns different priority levels to data packets Depending on the priority level, multiple copies of the data packets are delivered along multiple paths Hence, ReInForM relies heavily on the existence of multiple paths between a source and a destination, which is generally available in large-scale WSNs.

More than a few companies have viewed IA development as trivial, but it is generally more complicated than most firms expect Within the context of about implementation, these "This is one of those rare books that you will read to learn a CMS the product and keep exercises to find those tidbits that you missed before" rereading have a tremendous impact on the project's success The mere nature of CMS removes some SharePoint Server MVP Gary Bushey,of the arbitrary nature of site development For example, when developers are in complete control, they can make decisions about omenclature, site structure, and page layout as they code; when you have many developers vital content-management may end Content Management Server (CMS) is fast becoming a working on the project, youtool that up with administrators and developers handle the ever-increasing amount reduces these helpsdifferent interpretations of nomenclature and layout However, CMSof content on their inconsistencies by providing one place to retrieve the site organization (channel structure) and Web sites However, an authoritative source of product information has been missing until by implementing a template structure The templates, in turn, are used by the content now contributors to create pages within the site The channel structure is what the developed code reads to Content Management Server 2002: A is not to Guide is the reduces site flexibility Microsoftdisplay the navigation on the site This Completesay that CMS first book that explains In fact, CMS sites can be extremely flexible CMS simply creates a developers alike will learn how how to effectively unlock the power of CMS Administrators and constant environment for end users, content contributors, and developers, and consistently reinforces this structure no to enhance their Web servers' scalability, flexibility, and extensibility by using CMS features and matter how much content the Microsoft platform API to manage content on is added Earlier in this reference explains the product architecture, then shows you how to two This thorough chapter, we discussed the content and functionality inventory Thosecreate and documents and use as workflow Topic coverage includes CMS administration and security, edit contentwill serve the the foundation for all of the work you'll perform in this phase In fact, in conjunction with the content options, site configuration, out what content needs to A the Publishing API, deployment inventory, the IA may pointand template development be removed, "fixed," or added running example is used throughout the book to illustrate how important CMS features are implemented in real-world Web site development Inside you'll find answers to such questions At BOTS Consulting, the business users developed the information architecture shown in Figure as: 37-1.

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