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Applying data mining to assess crash risk on curves
Chen, Samantha; Rakotonirainy, Andry; Loke, Seng Wai - 2009
. Incident records, described using free text, from a large insurance company were analysed with rough set theory. Rough set …
Persistent link: https://www.econbiz.de/10009438195
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Erfolgsmessung informationsorientierter Websites
Stolz, Carsten Dirk - 2007
inhaltliche Bewertung zuermöglichen ist eine umfangreiche Text Mining-Analyse der Website notwendig.Das Effizienzmaß nutzt die …, we enhance the formerly developed web success metric GPI. We apply well understoodtechniques such as PLSA for text …
Persistent link: https://www.econbiz.de/10009447146
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Text Mining in der Konsumentenforschung unter besonder Berücksichtigung von Produktontologien
Butscher, Robert - 2006
Mithilfe von Text Mining Methoden wird aus Internet-Meinungsberichten und einschlägigen Handbüchern eine … und Assoziativen Netze auf und erweitert das Text Mining von Meinungsberichten um eine semantische Komponente. …With the help of text Mining methods a product specific ontology from online reviews and appropriate manuals is built …
Persistent link: https://www.econbiz.de/10009451148
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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 …
Persistent link: https://www.econbiz.de/10009434589
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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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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
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Economical Active Feature-value Acquisition through Expected Utility Estimation
Melville, Prem; Saar-Tsechansky, Maytal; Mooney, Raymond; … - 2005
In many classification tasks training data have missing feature valuesthat can be acquired at a cost. For building accurate predictive models,acquiring all missing values is often prohibitively expensive orunnecessary, while acquiring a random subset of feature values may notbe most effective....
Persistent link: https://www.econbiz.de/10009435054