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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

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

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

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

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

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

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

Empirical Methods for Predicting Student Retention- A Summary from the Literature

Bogard, Matt - 2011

The vast majority of the literature related to the empirical estimation of retention models includes a discussion of the theoretical retention framework established by Bean, Braxton, Tinto, Pascarella, Terenzini and others (see Bean, 1980; Bean, 2000; Braxton, 2000; Braxton et al, 2004; Chapman and Pascarella,...

Persistent link: https://www.econbiz.de/10009466971

Using boosting for automated planning and trading systems

Creaer, German - 2007

The problem: Much of finance theory is based on the efficient market hypothesis. According to this hypothesis, the prices of financial assets, such as stocks, incorporate all information that may affect their future performance. However, the translation of publicly available information into...

Persistent link: https://www.econbiz.de/10009472475

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