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Text Mining in der Konsumentenforschung unter besonder Berücksichtigung von Produktontologien
Butscher, Robert - 2006
produktspezifische Ontologie teil-automatisiert aufgebaut. In der Ontologie sind Konzepte mit ihren wechselseitigen Beziehungen …With the help of text Mining methods a product specific ontology from online reviews and appropriate manuals is built … up semi-automatedly. Concepts are deposited in the ontology with her mutual relations to which the opinions and attitudes …
Persistent link: https://www.econbiz.de/10009451148
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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
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Supplier Network Intelligence Collection Framework
Jeeva, Ananda; Zhu, Dengya - 2011
This paper proposes the use of an integrated information retrieval framework (IIRF) to facilitate the collection of critical information of a manufacturer’s supply network. It explores the requirements for a sustainable survival of manufacturers by aligning information among the entities...
Persistent link: https://www.econbiz.de/10009434914
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Mapping and modeling of oil and gas relational data objects for warehouse development and efficient data mining
Nimmagadda, Shastri; Dreher, Heinz - 2006
Oil and gas industries archive volumes of heterogeneous data. These companies, by virtue of their diverse operations, comprise of complicated organizational structure. The nature of organizational set-up with several operational units, often results with communication barriers among operational...
Persistent link: https://www.econbiz.de/10009434920
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Discover Interesting Patterns for Investment Decision Making with GLOWER- A Genetic Learner Overlaid With Entropy Reduction
Dhar, Vasant; Chou, Dashin; Provost, Foster - 2008
Prediction in financial domains is notoriously difficult for a number ofreasons. First, theories tend to be weak or non-existent, which makesproblem formulation open ended by forcing us to consider a large numberof independent variables and thereby increasing the dimensionality ofthe search...
Persistent link: https://www.econbiz.de/10009435041