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channel conflicts, data mining, and consumer privacy
Teltzrow, Maximilian - 2005
Grenzbereich zwischen den scheinbar konkurrierenden Interessen von Onlinekonsumenten und Firmen. Datenschutz im Internet wird aus … werden können. Ein Design zur besseren Kommunikation von Datenschutz wird vorgestellt, um damit eine effizientere … gestatten den beiden Gegenparteien, widerstreitende Interessen zwischen Datennutzung und Datenschutz auszugleichen. Ein …
Persistent link: https://www.econbiz.de/10009467168
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Locating Lists of People on the Web: RosterFinder
Sweeney, Latanya - 2003
online rosters provide more privacy than they do. This paper presents RosterFinder, a set of simple algorithms for locating … known names. Privacy implications are discussed using the example of FERPA and online student rosters. …
Persistent link: https://www.econbiz.de/10009440983
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Data Mining: Modellierung, Methodik und durchführung ausgewählter Fallstudien mit dem SAS Enterprise Miner
Gottermeier, Christian - 2003
, Entscheidungsbaum und Regression. Bei der Durchführung von Fallstudien wird u.a. auf das Pre-Processing eingegangen. …
Persistent link: https://www.econbiz.de/10009476220
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Analysis and evaluation of loyalty programs measured on a set of variables for a leading credit card company
Tsai, Yu-I; Pervez, Farhan; Asahara, Keiko; Song, Eric - 2006
rewarded more. Second, the lagged regression analysis was used to explore the cause-effect relationship between spending and … correlation between them, and it also provided estimated parameters in the regression models. Last, the current rewards scheme was …
Persistent link: https://www.econbiz.de/10009466145
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Critical success factors in data mining projects.
Sim, Jaesung - 2003
The increasing awareness of data mining technology, along with the attendant increase in the capturing, warehousing, and utilization of historical data to support evidence-based decision making, is leading many organizations to recognize that the effective use of data is the key element in the...
Persistent link: https://www.econbiz.de/10009475089
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A Decision-Theoretic Approach to Data Mining
Elovici, Yuval; Braha, Dan - 2003
In this paper, we develop a decision-theoretic frameworkfor evaluating data mining systems, which employ classification methods, in terms of their utility in decision-making. The decision-theoretic model provides an economic perspective on the value of â extracted knowledge,â in terms of its...
Persistent link: https://www.econbiz.de/10009431139
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Large-Scale Pattern-Based Information Extraction from the World Wide Web
Blohm, Sebastian - 2010
Extracting information from text is the task of obtaining structured, machineprocessable facts from information that is mentioned in an unstructured manner.It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or...
Persistent link: https://www.econbiz.de/10009434402
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Wissensextraktion zum datengetriebenen Qualitätsmanagement
Strobel, Christian Manuel - 2009
In der vorliegenden Dissertation werden zwei neue Data Mining Verfahren und Metho-den zur Extraktion von qualitätsrelevantem Wissen vorgestellt und mit Anwendungen aus der Automobilbranche evaluiert. Diese neuartigen Verfahren erlauben es, in Abhän-gigkeit der zugrunde liegenden Datentypen,...
Persistent link: https://www.econbiz.de/10009434537
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Large-Scale Pattern-Based Information Extraction from the World Wide Web
Blohm, Sebastian - 2010
Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or...
Persistent link: https://www.econbiz.de/10009434589
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Using Data Mining for Facilitating User Contributions in the Social Semantic Web
Ramezani, Maryam - 2011
This thesis utilizes recommender systems to aid the user in contributing to the Social Semantic Web. In this work, we propose a framework that maps domain properties to recommendation technologies. Next, we develop novel recommendation algorithms for improving personalized tag recommendation and...
Persistent link: https://www.econbiz.de/10009434685