für 61.20€ kaufen ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Vision is perhaps the most important sense for humans. It consists of processing images of scenes so as to make explicit what needs to be known about them. Among the different complex tasks accomplished by the Human Visual System, the tasks of representing and understanding the content of an observed scene are fundamental these tasks, indeed, allow to humans the interpretation of their surroundings. Computer vision aims to build robust and reusable vision systems that act taking into account the visual content of images and videos. Just as learning is an essential component of biological visual systems, the design of machine vision systems that learn and adapt represent an important challenge in modern computer vision research. This book focuses on some key ingredients useful to represent images for scene recognition, image retrieval and content based learning. ····· 1036186554
für 71.10€ kaufen ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Ubuntu Server Administration and Cloud Computing: Mastering Deploying Applications on Ubuntu Server. It is a step-by-step, task-oriented hands-on training guide for configuring and customizing your system. This guide assumes you have a basic understanding of your Ubuntu system. In Chapter II, you`ll learn all the required tasked covering installation, maintenance and administration. In Chapter III, you`ll be introduced on how to build and deploy your own ISP Hosting solution using EHCP on Ubuntu Server - giving you ability to start your own ISP business. Starting from Chapter IV onwards, you`ll have the privilege of learning how to build and deploy your cloud computing solutions. Chapter IV introduces you on how to Build & Deploy Desktop Personal Cloud using eyeOS Cloud Computing Operating System on Linux. Chapter V covers how to Build & Deploy a Private Cloud using OpenNebula Cloud Computing and finally you`ll learn how to Build Private Cloud with Ubuntu 11.04 Natty Eucalyptus Enterprise Cloud. ····· 1036186547
für 61.20€ kaufen ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Crime prevention in online shopping and online banking B2C e-commerce has been an issue for both electronic retailers and banks, and their customers. This book provides information on security awareness that is useful to e-commerce organisations such as electronic retailers and banks, and their customers. The book will benefit online consumers by helping them to know how to protect themselves better in online transactions and will also be of great benefit to e-commerce organisations because it provides up-to-date information on how they can protect their customers better and also how to educate them in a way they can be turned into the first line of defence in the fight against crimes in B2C e-commerce. ····· 1036186530
für 44.10€ kaufen ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Marketing and Information Technology used to be separate departments. However, after the major revolution in Information Technology that took place in the recent decades along with the birth of the worldwide web, they are becoming connected and almost inseparable. Applying IT Methods and Techniques in Marketing serves as a complete guide towards closing the gap between Information Technology and Marketing. The purpose is to make it easier for marketers to control, manage and monitor all resources, activities and people who will participate in the marketing process. It gives a closer look on how the revolution in Information technology that took place in the last decades have affected the Marketing process, introduce the new methods and techniques that have recently emerged and helped close the gap between Marketing and Information Technology, apply IT techniques and approaches to Marketing in order to organize and manage the Marketing process and apply Project Management phases, the Logical Framework, Service Management and Business Process Management approaches to Marketing. ····· 1036186516
für 44.10€ kaufen ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Fractal Image compression is one of the newer ways of squeezing an image file by systematically analyzing it and saving a smaller set of instruction instead of a description of every pixel that can be used to precisely reconstruct it. The Technique used in this book utilizes the Genetic Algorithm, which greatly decreases the search space for finding the self similarities in the given image. The Domain pool design is one of the dominant issues, which affect coding performance of fractal image compression. In this book, a block-averaging method is used to design an efficient domain pool, which produces high quality image after compression and decompression. The Genetic Algorithm reduces the time complexity irrespective of image quality and Efficient Domain pool attains high quality image. Generally when image compression is carried out, the factors such as size of image, compression ratio, quality and time are considered. The work in this book concentrates on reducing time complexity involved during fractal image compression and also on obtaining high quality compressed images. ····· 1036186511
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray In this thesis, we investigate the possibility of reducing the number of measurements and using only their magnitudes to reconstruct spherical signals and their three-dimensional rotations. These problems appear, for instance, in spherical near-field (SNF) antenna measurements, where the number of samples to acquire a signal implies a long measurement time and occasionally unreliable phase information. ····· 1036178929
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray This thesis contributes to the integration of electrical impedance-based methods and physiological modelling for continuous monitoring of body fluid and solutes dynamics during dialysis treatment. The particular focus lies on risk assessment for intradialytic hypotension and ectopic calcification. Bedside tests were developed for routine clinical practice. Impedance methods and appropriate modelling could aid in minimizing dialysis side effects and individualizing treatment prescription. ····· 1036178924
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Increasing volume and heterogeneity of computer devices require changing existing, highly specialized IT services. Users, however, want to combine and individualize services to achieve their business goals. By gradually hiding the technical complexity of systems, this thesis proposes a process-aware reference architecture to connect services and users` expectations that is validated using case studies from different areas of the university. ····· 1036178893
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Relying vast HPC investments on informed decision making is important when serving the ever increasing demands for computational power. To compare and evaluate HPC systems in procurement processes, I define a productivity model that focuses on the number of simulation application runs and the total cost of ownership (TCO). As part of TCO, I setup a methodology to estimate software development costs with respect to HPC-related efforts. I provide proof of concepts based on real-world HPC setups. ····· 1036178681
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Recent years have witnessed an explosion in generation and storage of data in a wide bunch of fields, such as multimedia, medicine, business, marketing, and engineering. In this thesis, novel efficient similarity search techniques are primarily contributed for high-dimensional databases comprising signatures. ····· 1036178613
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Expressing and managing data locality is important today and will be even more so on the next generation of machines. This thesis presents abstractions for achieving high performance with shared memory parallel applications. It identifies several memory management idioms for NUMA machines and the development of the thread affinity model for OpenMP. The memory management idioms and the thread affinity model are shown to support the parallelization with object-oriented abstractions. ····· 1036178560
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray The analysis of job requirements is crucial for companies and job seekers. The thesis deals with developing a web content mining process for analyzing job requirements in online job advertisements. It combines methods from big data analytics, knowledge discovery in databases, data mining, web mining, and natural language processing. In the future, the web content mining process can be integrated into an overarching recruiting 4.0 framework to support decision-making processes. ····· 1036178503
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Modern storage systems allow to capture data in its full complexity. As implication for the data mining task of clustering, multiple, alternative, and valid clusterings can be identified for a single dataset. A second observation is that clustering based on all attributes, in the full-space, is futile, but valuable cluster patterns can be found for subsets of attributes. This thesis contributes novel methods for detecting multiple, alternative clusterings in subspace projections of the data. ····· 1036178494
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray The volume of data generated from human social interactions is breathtaking, data stemming from human sensors and wearables is on the rise, and soon, machines are poised to start interacting too. This data can be utilized to perform data analytics, which might expose valuable vivid patterns and knowledge that would be imperative to society. In this thesis, we present novel data mining predictive analytics solutions, ranging from location prediction through activity recognition to prediction in the medical domain. On the other hand, such data also contains huge volume of sensitive information that is raising serious privacy concerns. To mitigate such concerns, we present new enhanced privacy preserving data mining techniques to protect data. ····· 1036178484
····· lezzter Preis 38.27€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Today`s applications and research issues in data mining have to deal with continuous, possibly infinite streams of data, arriving at high velocity. Web traffic, sensor measurements and stock trading data are just examples of these daily-increasing applications. This thesis presents and evaluates novel methods for an efficient subspace clustering of high-dimensional data streams. Primarily, efficient models of advanced clustering tasks are for the first time contributed for big data streams. ····· 1036178451
····· lezzter Preis 24.00€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Chipkartensoftware von elektronischen Ausweisdokumenten darf aufgrund der hohen Sicherheitsanforderungen nicht nachträglich veränderbar sein und muss eine höhere Qualität als Computersoftware besitzen, weil Fehler nicht durch das Einspielen von Updates korrigierbar sind, sondern nur durch Rückruf und Austausch behoben werden können. Die hohen Qualitätsziele, die daher an Chipkartensoftware gestellt werden, können nur durch intensive Prüfung abgesichert werden. In der vorliegenden Arbeit wird eine Prüfstrategie entwerfen, die besonders auf die spezifischen Eigenschaften der Chipkartensoftware von elektronischen Ausweisdokumenten eingeht, mittels derer sich funktionale Systemtests aus einem Lastenheft (Spezifikation des Auftraggebers) ableiten lassen. Diese Prüfstrategie wird auf die technische Spezifikation des neuen elektronischen Personalausweises angewendet und der resultierende funktionale Systemtest wird mit einem für den elektronischen Personalausweis konzipierten Systemtest verglichen, der erfahrungsbasiert entwickelt wurde. ····· 1036173842
····· lezzter Preis 24.00€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Die IT-basierte Managementunterstützung ist eine komplexe und dynamische Aufgabe. Daher soll im vorliegenden Buch ein Vorgehensmodell zur Entwicklung einer DV-Anwendung zur Managementunterstützung vorgestellt werden, die ein Neuronales Netz (NN) zur quantitativen Prognose simuliert. Zunächst werden die zur konzeptionellen und technischen Realisierung notwendigen Grundlagen der IT-basierten Managementunterstützung durch Management Support Systeme sowie die Grundlagen für die Anwendung von Künstlichen Neuronalen Netzen (KNN) zur quantitativen Prognose beschrieben. Es ist nicht möglich, dass die Informationsgenerierung durch Künstliche Neuronale Netze isoliert von anderen managementunterstützenden DV-Anwendungen betrachtet wird. Aus diesem Grund orientiert sich dieses Modell sehr stark an einer modernen Ausprägung eines Management Support Systems - dem sogenannten Business Intelligence Konzept -, um den gesamten Komplex der IT-basierten Managementunterstützung integriert zu betrachten. ····· 1036173801
····· lezzter Preis 35.50€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Model-driven approaches are experiencing an increasing acceptance in the automotive domain thanks to the availability of the AUTOSAR standard, which defines an open software architecture for the model-based development of real-time systems and a corresponding development methodology. However, the process of creating models of existing system components is often difficult and time consuming, especially when legacy code is involved or information about the exact timing is needed. The research community tackles this problem by developing algorithms for automatically deriving characteristics of the system`s timing behaviour, e.g., response times and resource blockings from various artefacts such as source code or runtime measurements.This work focuses on reversely engineering an AUTOSAR-compliant model, which can be used for further processing including timing simulation and optimisation, via a dynamic analysis from trace recordings of a real-time system. Although software reverse engineering via dynamic analysis has a long history, little research targets embedded systems and its use for multi-core architectures is largely unresearched. Furthermore, related work mainly discusses the analysis of individual characteristics of a real-time system, such as execution times or stimulation patterns instead of creating a description of the entire system. Huselius, whose work is among the publications most related to the topic of this thesis, proposes a technique to reverse engineer a model that reflects the general temporal behaviour of the original real-time software. However, like other existing solutions, it was not developed with AUTOSAR in mind. It is also not feasible to make this approach applicable to the automotive domain, because Huselius has not considered some required details, such as activation patterns, scheduling information, and compliance to the standardised development methodology of AUTOSAR. We want to tackle this deficiency by introducing, in this work, an approach that seizes on Huselius`s considerations and extends them in order to make them applicable to the automotive domain. To do so, we present CoreTAna, a prototypical tool that derives an AUTOSAR compliant model of a real-time system by conducting dynamic analysis using trace recordings. Its reverse engineering approach is designed in such a way that it fits seamlessly into the methodology specified by AUTOSAR. CoreTAna`s current features are explained and their benefits for reverse engineering are highlighted, and a framework for evaluating the quality of synthesised models is described. Motivated by the challenge of assessing the quality of reverse engineered models of real-time software, we also introduce a mathematical measure for comparing trace recordings from embedded real-time systems regarding their temporal behaviour and a benchmark framework based on this measure, for evaluating reverse engineering tools such as CoreTAna. This framework considers common system architectures and also includes randomly generated systems and systems of projects in the automotive domain and other industries. Finally, CoreTAna`s performance and applicability are evaluated on the basis of this benchmark. ····· 1036171518
····· lezzter Preis 45.50€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Space is everywhere, and so is spatial data. The digital revolution has led to an enormous pool of available spatial data, and the amount of newly generated spatial data is increasing day by day. Often, this spatial data is two-dimensional point data that in addition is associated with data objects such as media objects (e.g. pictures or texts). As a consequence of the huge amount of data objects which is generated and then has to be maintained, there is a need for effective and efficient search systems which are capable of addressing the spatial properties of the data objects. In this context, different search scenarios exist: The data objects might be maintained in a distributed system (i.e. on a set of different machines) or in a centralized system (i.e. on a single machine) which, in each case, leads to varying requirements for appropriate search systems. However, in both scenarios, the concept of resource description and selection is an applicable paradigm for conducting similarity searches with regard to the spatial properties of the data objects. Hereby, when focusing on the spatial aspects, a resource is an abstract entity that administers spatial point data. For describing the spatial footprint of a resource, its spatial data point set can be `summarized` by means of geometrically delineated areas which cover this data point set. These resource descriptions are then usable for a targeted selection of the resources which administer the relevant data objects based on spatial properties. This thesis is concerned with the effective and efficient summarization of two-dimensional spatial point data as a means for resource description and selection in spatial application scenarios. The term `effective` refers to a spatially very accurate geometric delineation of the data point set to describe whereas the term `efficient` relates to its storage-space-efficient representation. Two search-based spatial application scenarios are assessed in this thesis, and in both, the search task can be modelled by adhering to the concept of resource description and selection. The first scenario is a distributed application scenario in which spatial point data is maintained by a set of independent resources such as peers in a peer-to-peer network. Given a concrete query, the resource descriptions shall enable the targeted selection of the peers administering the relevant data points while ignoring `irrelevant` resources. The distributed application scenario is the main part of this thesis, and our summarization approaches are specifically developed for this purpose. Hereby, a variety of concepts is considered which include the compression of the data points, the use of arbitrarily complex bounding volumes to delineate them, the representation of complex objects (such as complex bounding volumes) with a set of simple objects, and a division of the data point set to describe into groups and the subsequent concise delineation of each group. Overall, 14 summarization approaches are presented in this thesis which can be categorized into data partitioning approaches, space partitioning approaches, and hybrid approaches. Following the specification of suitable resource selection schemes which are based on the various summaries, an extensive evaluation is conducted by means of assessing the approaches` performances for k nearest neighbor (kNN) queries. The evaluation considers different data collections and varying environmental conditions in order to assess the robustness of the approaches. In the second application scenario, a utilization of our summarization approaches in a multidimensional data structure is assessed---which constitutes a centralized application scenario. More specifically, the two summarization approaches of the distributed application scenario which are most suitable for this purpose are integrated into an R-tree which administers sets of two-dimensional point data. The R-tree is a tree-based, centralized multidimensional data structure which has been the subject of intensive research over many years, starting in 1984. Within an R-tree, the `resources` are the nodes of the hierarchical tree structure. The resource descriptions shall enable the targeted traversal of paths in the tree structure when searching for the relevant data points given a specific query. Traditionally, these nodes are described by Minimum Bounding Rectangles (MBRs) which are very storage-space-efficient but rather coarse descriptions of a spatial footprint. After presenting the classical R-tree, the modifications to the R-tree that are necessary to integrate our summarization approaches are discussed. Also, appropriate algorithms for calculating summaries from a set of rectangles are outlined as this is a prerequisite for the efficient use of our sophisticated summarization approaches in R-trees. Following the specification of appropriate range query and kNN query algorithms, an extensive evaluation is conducted which assesses both the improvement potential over the traditional R-tree using MBR summaries as well as the degree of achievement by means of the straightforward approach to the integration that we pursue. Also in this evaluation, different data collections and varying environmental conditions are considered. Overall, the thesis presents a wide variety of summarization approaches for describing sets of two-dimensional point data. These summarization approaches are excellently suited for usage in the investigated distributed application scenario. Furthermore, we assess the utilization of the two summarization approaches which are most appropriate for this purpose in an already very intensively researched centralized application scenario. Here, we examine further improvement potentials and identify important obstacles which are to overcome for our summarization approaches in such an environment. ····· 1036171511
····· lezzter Preis 22.50€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Das Informationssystem ist für Organisationen das informationsverarbeitende System. Dieses ist unter anderem für die Planung, Steuerung sowie die Kontrolle von Geschäftsprozessen zuständig. Zur Durchführung von Geschäftsprozessen werden häufig sowohl unterschiedliche maschinelle, insbesondere Anwendungssysteme, als auch personelle Aufgabenträger eingesetzt. Dies führt dazu, dass Ressourcenebenen von Geschäftsprozessen meist heterogen geprägt sind. Damit entsteht das Problem, geeignete Integrationsarchitekturen zu konstruieren und dabei die relevanten Integrationsmerkmale der Ressourcenebene mit den spezifischen Anforderungen der Geschäftsprozesse geeignet zu kombinieren.Für die Erschließung dieses Problemfeldes bietet die vorliegende Arbeit zunächst einen Überblick über bestehende Ansätze zum Entwurf von Integrationsarchitekturen für Informationssysteme. Bei der ersten Annäherung an das Thema ist schnell festzustellen, dass bei der Integration der Fokus häufig auf die Technologie gerichtet wird, insbesondere auf die Erstellung von Schnittstellen für die beteiligten Anwendungssysteme. Darüber hinaus wird auf Ressourcenebene neben Anwendungssystemen der personelle Anteil bei der Konstruktion von Integrationsarchitekturen oftmals unzureichend berücksichtigt. Zur Vermeidung dieser einengenden Sichtweise wird deshalb im Rahmen dieser Arbeit ein Top-Down-Ansatz entworfen. Bei diesem werden ausgehend vom Geschäftsprozess Integrationsbedarfe identifiziert und mittels Merkmalen die Anforderungen an die Integration aus Sicht der involvierten Aufgaben spezifiziert. Unter geeigneter Kombination mit der Ressourcenebene können verschiedene Szenarien miteinander verglichen werden. Grundlage des entwickelten Top-Down-Ansatzes ist das Semantische Objektmodell. Die Anwendung wird anhand von Fallstudien aus dem Hochschulbereich sowie der Güterdistribution verdeutlicht und mithilfe eines entwickelten Prototypen unterstützt. ····· 1036171507
····· lezzter Preis 26.00€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Modern Computer-mediated Communication technologies like Instant Messaging (IM) systems enable spontaneous communication over distance. With the advances in Mobile and Ubiquitous Computing, these technologies move away from the desktop computers of our offices, and become more and more pervasive and interwoven with our daily lives. The introduction of these great possibilities to communicate from everywhere with everyone however comes at a cost: The cost of constantly being available to everybody, everywhere, leading to an increasing number of interruptions in our daily tasks. The challenge is, that current technology does not empower users to manage their availability in an adequate manner. Most IM clients for example, only support one single online status that needs to be managed manually by the user. In this work I am founding the concepts of Presence and Availability on a deep understanding of human privacy needs, derived from literature. Based on this foundation, I show how the selective and dynamic nature of privacy is not sufficiently reflected in current systems. Based on two user studies I reveal patterns for selective information disclosure and present an analysis of Selective Availability needs. With the collected study data, I further show that Selective Availability for nomadic users can be predicted based on sensors installed on the users` laptop computer with a good accuracy through machine learning. As the personalised nature of the data requires new concepts for building an adaptive system, I introduce the LILOLE Framework. The LILOLE Framework outlines the concept of an adaptive system that relies on stream-based active learning to continuously learn and automatically adapt fine-grained personal availability preferences for individual users. The concept is validated through a proof-of-concept implementation and an evaluation based on real user data. In comparison to related work, the presented work is one of very few examples that goes beyond the pure analysis of the predictability, but provides a concept and an implementation of a real system as validation. My approach is novel by combining concepts from Data Stream Mining and Active Learning to predict availability, thus making it very flexible for different settings. This way I am able to address the selective and dynamic nature of availability preferences for nomadic users. ····· 1036171502
····· lezzter Preis 19.50€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Im Wintersemester 2017/2018 hat ein Masterseminar am Institut für Kommunikationswissenschaft der Universität Bamberg unter Leitung von Dr. Florian Mayer und Dipl.-Journ. Martin Hüsener die Usability des neu gestalteten Intranets der Mediengruppe Oberfranken untersucht.Dabei wurden vier, für die Mediengruppe relevante Nutzergruppen betrachtet: Führungskräfte, Auszubildende, Mitarbeiter der Verwaltung und Angehörige der internen Redaktion. Die drei bzw. vier Probanden jeder Gruppe mussten jeweils allgemeine und gruppenspezifische Aufgaben im Intranet mithilfe der `Methode des Lauten Denkens` lösen. Zusätzlich wurden sie vor- und nachher befragt. Die per Videokamera aufgezeichnete Bearbeitung der Aufgaben (Nutzungsverhalten und Verbalisierungen) wurde transkribiert.Dieses Buch stellt den Abschlussbericht des Lehr-Forschungsprojektes dar, an dem 13 Masterstudierende mitgearbeitet haben. Die theoretischen Grundlagen der Studie werden geschildert, der Ablauf des Projektes ausführlich dokumentiert und konkrete Handlungsempfehlungen auf Basis der Ergebnisse der Untersuchung formuliert. ····· 1036171498
····· lezzter Preis 22.00€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Die ständig zunehmende Anzahl nutzergenerierter textueller Daten im World Wide Web, wie beispielsweise Kundenrezensionen, und die Begehrlichkeiten diese Daten hinsichtlich der darin ausgedrückten Meinungen zu Unternehmen, Produkten, Dienstleistungen etc. maschinell auszuwerten, erfordern gut funktionierende, angepasste Methoden des Opinion Mining. Die Grundlage für viele dieser Methoden bilden lexikalische Ressourcen in Form von Lexika meinungstragender Wörter und Phrasen. Diese Lexika existieren bisher allerdings nur für ausgewählte Sprachen, haben diverse inhaltliche Lücken, und sind automatisch (für verschiedene Sprachen) nur mit großem Aufwand zu erzeugen.In dieser Arbeit wird deshalb ein neues Verfahren vorgestellt, das dazu beitragen soll, die benannten Probleme - durch den Einsatz statistischer Methoden - zu überwinden. Zudem wurde, mittels dieses Verfahrens, der Prototyp eines neuen Lexikons mit meinungstragenden Wörtern und Phrasen für die deutsche Sprache generiert und anschließend evaluiert. Dafür wurde im Rahmen eines Experiments mit 20 Teilnehmern ein Basis-Referenzlexikon für die deutsche Sprache manuell erzeugt.Klassische Einsatzgebiete der Opinion Mining Algorithmen und Ressourcen, und damit des vorgestellten Verfahrens, sind Systeme zur Erfassung von Kundenmeinungen zu verschiedenen Unternehmensbereichen zur Unterstützung des Beschwerde- und Reputationsmanagements. Allerdings sind die Möglichkeiten des neu entwickelten Verfahrens nicht auf diese klassischen Anwendungsfelder begrenzt. Auch der interdisziplinäre Einsatz, z.B. zur Untersuchung von Sprachvarietäten im Forschungsfeld der Sprachstatistik, ist denkbar. ····· 1036171493
····· lezzter Preis 24.00€ ···· Rheinberg-Buch.de - Bücher, eBooks, DVD & Blu-ray Im Feld der Angewandten Informatik leistet die Arbeit einen Beitrag im Bereich ortsbezogene Geoinformationssysteme, indem durch einen räumlichen Lösungsansatz für eine ortsbezogene Verbundoperation eine bislang nicht verfügbare Funktion (Ähnlichkeit auf Orten) über unterschiedliche Datenarten und -quellen realisiert werden konnte, die sich für einen wichtigen Anwendungsfall (touristische Exploration einer Stadt) als äußerst produktiv erwiesen hat. Das Vorgehen, Zusammenhang zwischen Orten über partielle räumliche Koinzidenz herzustellen, steht dabei komplementär zu bisherigen Ansätzen, Verknüpfungen im Sinne des Qualitativen Räumlichen Schließens ausschließlich auf Ebene des verfügbaren ortsbezogenen Wissens herzustellen. ····· 1036171488· 1 · ::::: · 31 ·· 32 ·· 33 ·· 34 ·· 35 ·· 36 ·· 37 · ::::: · 47 ·
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