Web Mining in Social Media

Alexander Graubner-Müller

Alexander Graubner-Müller has studied Economics with the main focus on Information Management and Macroeconomics at the Univ... Mehr

Format:	Kartonierter Einband (Kt)
EAN:	9783941835078
Anzahl Seiten:	152

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Titel :	Web Mining in Social Media
Untertitel :	Use Cases, Business Value, and Algorithmic Approaches for Corporate Intelligence
Autor:	Alexander Graubner-Müller
EAN:	9783941835078
ISBN :	978-3-941835-07-8
Format:	Kartonierter Einband (Kt)
Herausgeber:	Social Media Verlag
Genre:	Branchen
Anzahl Seiten:	152
Gewicht:	212g
Größe:	H217mm x B139mm x T17mm
Jahr:	2011
Sprache:	Englisch

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Alexander Graubner-Müller has studied Economics with the main focus on Information Management and Macroeconomics at the University of St. Gallen and at the ETH Swiss Federal Institute of Technology in Zurich. During his studies he was also involved in research projects covering Internet Technologies, Statistical Analysis, and Artificial Intelligence. His main concern was the utilization and retrieval of Collective Intelligence. In October 2010, he and his business associate have founded www.predictx.org, a virtual prognosis portal.

Klappentext

For the Intelligent Organization, the prototypical enterprise of the 21st century, the Internet has become a highly relevant information sphere. The Web facilitates the acquisition of information about the actors in a company's environment. On top of that, the rise of the Social Web, Online Collaboration, and Collective Intelligence transformed the Web itself into an important instance of the business environment, equally bringing along opportunities and threats for the conduct of business.In order to systematically generate knowledge from the informational richness of the Web, companies require efficient technologies for the retrieval, analysis, and processing of Web content. As an interdisciplinary field of research, merging Data Mining, Information Retrieval and Natural Language Processing, Web Mining can be seen as a toolset for the automated generation of information from Web content.How and for which purposes a company can apply Web Mining will be investigated in the course of this work. A comprising collection of use cases, covering a wide variety of business functions, will illustrate which benefits Web Mining can provide.

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