Complete real-world examples of gathering feedback from users and web environments; Fundamentals of text analysis using JavaScript and PHP; Harnessing JavaScript data visualisation tools; Business focused application to feedback gathering, analysis and reporting; Integration of new and existing data sources into a single bespoke web-based analysis environment

Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that you can follow as part of a step-by-step, reproducible example. You can also easily apply and extend the techniques to other problems. All the examples are available on a supplementary website. The book shows you how to exploit your text data, offering successful application examples and blueprints for you to tackle your text mining tasks and benefit from open and freely available tools. It gets you up to date on the latest and most powerful tools, the data mining process, and specific text mining activities.

Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of increasingly complex problems. Learn from the Creators of the RapidMiner Software Written by leaders in the data mining community, including the developers of the RapidMiner software, RapidMiner: Data Mining Use Cases and Business Analytics Applications provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The software and their extensions can be freely downloaded at www.RapidMiner.com. Understand Each Stage of the Data Mining ProcessThe book and software tools cover all relevant steps of the data mining process, from data loading, transformation, integration, aggregation, and visualization to automated feature selection, automated parameter and process optimization, and integration with other tools, such as R packages or your IT infrastructure via web services. The book and software also extensively discuss the analysis of unstructured data, including text and image mining. Easily Implement Analytics Approaches Using RapidMiner and RapidAnalytics Each chapter describes an application, how to approach it with data mining methods, and how to implement it with RapidMiner and RapidAnalytics. These application-oriented chapters give you not only the necessary analytics to solve problems and tasks, but also reproducible, step-by-step descriptions of using RapidMiner and RapidAnalytics. The case studies serve as blueprints for your own data mining applications, enabling you to effectively solve similar problems.

Complete real-world examples of gathering feedback from users and web environments; Fundamentals of text analysis using JavaScript and PHP; Harnessing JavaScript data visualisation tools; Business focused application to feedback gathering, analysis and reporting; Integration of new and existing data sources into a single bespoke web-based analysis environment

This book constitutes the refereed proceedings of the Third International COST264 Workshop on Networked Group Communication, NGC 2001, held in London, UK, in November 2001.The 14 revised full papers presented were carefully reviewed and selected from 40 submissions. All current issues in the area are addressed. The papers are organized in topical sections on application-level aspects, group management, performance topics, security, and topology.

Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that you can follow as part of a step-by-step, reproducible example. You can also easily apply and extend the techniques to other problems. All the examples are available on a supplementary website. The book shows you how to exploit your text data, offering successful application examples and blueprints for you to tackle your text mining tasks and benefit from open and freely available tools. It gets you up to date on the latest and most powerful tools, the data mining process, and specific text mining activities.

As the Internet has grown, so have the challenges associated with delivering static, streaming, and dynamic content to end-users. This book is unique in that it addresses the topic of content networking exclusively and comprehensively, tracing the evolution from traditional web caching to today's open and vastly more flexible architecture. With this evolutionary approach, the authors emphasize the field's most persistent concepts, principles, and mechanisms--the core information that will help you understand why and how content delivery works today, and apply that knowledge in the future.
+ Focuses on the principles that will give you a deep and timely understanding of content networking.
+ Offers dozens of protocol-specific examples showing how real-life Content Networks are currently designed and implemented.
+ Provides extensive consideration of Content Services, including both the Internet Content Adaptation Protocol (ICAP) and Open Pluggable Edge Services (OPES).
+ Examines methods for supporting time-constrained media such as streaming audio and video and real-time media such as instant messages.
+ Combines the vision and rigor of a prominent researcher with the practical experience of a seasoned development engineer to provide a unique combination of theoretical depth and practical application.

Immer mehr Unternehmen entdecken die Bedeutung von Customer-Relationship-Management (CRM). Hofmann legt das erste Buch vor, das CRM mit dem gleichfalls immer bedeutender werdenden Aspekt der wertsteigernden Unternehmensfuhrung zum Customer-Lifetime-Value-Management (CLV-M) verknupft.
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Diplomarbeit aus dem Jahr 2004 im Fachbereich BWL - Marketing, Unternehmenskommunikation, CRM, Marktforschung, Social Media, Note: 1,7, Hochschule fur Angewandte Wissenschaften Hamburg, Sprache: Deutsch, Abstract: Schwerpunkte der Arbeit sind: B2B, Investitionsguter, Investitionsgutermarketing, Definition von Innovation und Innovationsgrade, Unternehmen im technologischen Wandel, Kauferverhalten, Adoption und Diffusion bei B2B-Innovationen, Innovationsstrategien und Innovationserfolg, Innovationswiderstande und deren Uberwindung, Innovationsmarketing, Markenpolitik fur Innovationen Eine Idee und harte Arbeit sind die Grundlagen fur eine erfolgreiche Innovation, sie alleine sichern allerdings nicht den Innovationserfolg. Auch Misserfolge und Ruckschlage gehoren zum nnovationsprozess(vgl. Cooper, 2003, S. 166ff.). Deswegen ist ein wesentliches Ziel dieser Arbeit die Darstellung einer erfolgreichen Vermarktung von B2B-Innovationen. Um dies zu erreichen, muss zuerst die Frage nach einer Innovation im betriebswirtschaftlichen Sinne geklart werden, und welche Formen von Innovationen es gibt. Ausserdem soll gezeigt werden, wie eine sinnvolle Abgrenzung zwischen den technologischen Sprungen von Entwicklungen gemacht, und woran diese erkannt werden konnen. Neben der Frage, welche Erfolgsgrossen es fur Unternehmen in Bezug auf Innovationen gibt und durch welche Instrumente ein Unternehmen uberhaupt einen Innovationsbedarf erkennen kann, sollen Fragen nach den Turbulenzen bzw. Gefahren eines innovierenden Unternehmens und eines potenziellen Abnehmers dieser Innovationen in der Branche beantwortetet werden.Ein elementarer Teil dieser Arbeit wird sich mit dem industriellen Beschaffungsverhalten und dessen Beeinflussbarkeit in Bezug auf Innovationen beschaftigen, aber ebenso mit der Annahme und Verbreitung sowie evtl. Widerstanden gegenuber von Innovationen und deren Auflosung.Im weiteren Verlauf der Arbeit ist dann der Frage nachzugehen, welche Strategien innovierende Unterneh