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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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Customer Analysis for Software XploRe From Data Mining to Marketing Strategy
Wang, Jianqiu - 2003
, data mining method clustering was undertaken to identify the customersegments. Two different clustering methods were tested …
Persistent link: https://www.econbiz.de/10009467253
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Partition clustering of High Dimensional Low Sample Size data based on P-Values
Von Borries, George Freitas - 2008
small number of replications per variable, and HDLLSS data refer to HDLSS data observed over time. Clustering technique …, mass spectrometry data, pattern recognition. Most current clustering algorithms for HDLSS and HDLLSS data are adaptations … addition, available algorithms often exhibit poor clustering accuracy and stability for non-normal data. Simulations show that …
Persistent link: https://www.econbiz.de/10009464047
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Applying data mining to assess crash risk on curves
Chen, Samantha; Rakotonirainy, Andry; Loke, Seng Wai - 2009
The wide range of contributing factors and circumstances surrounding crashes on road curves suggest that no single intervention can prevent these crashes. This paper presents a novel methodology, based on data mining techniques, to identify contributing factors and the relationship between them....
Persistent link: https://www.econbiz.de/10009438195
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Erfolgsmessung informationsorientierter Websites
Stolz, Carsten Dirk - 2007
Die Messung des wirtschaftlichen Erfolgs von transaktionsorientierten Websites ist guterforscht und findet breite Anwendung. Dahingegen ist eine Aussage über den Erfolg vonWebsites, die lediglich Informationen anbieten, nur sehr eingeschränkt möglich. Beitransaktionsorientierten Websites wird...
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 produktspezifische Ontologie teil-automatisiert aufgebaut. In der Ontologie sind Konzepte mit ihren wechselseitigen Beziehungen hinterlegt, auf welche die Meinungen der Kunden bezogen...
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, 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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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
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Novel Computationally Intelligent Machine Learning Algorithms for Data Mining and Knowledge Discovery
Gheyas, Iffat A. - 2009
This thesis addresses three major issues in data mining regarding feature subset selection in large dimensionality domains, plausible reconstruction of incomplete data in cross-sectional applications, and forecasting univariate time series. For the automated selection of an optimal subset of...
Persistent link: https://www.econbiz.de/10009465839