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text mining offers untapped potentials concerning early detection and environmental scanning. In this paper, the … roadmapping process is split into different steps in order to analyse which text mining methods could add further value within … each. This leads to a two-layered process model, which includes text mining techniques to systematically integrate external …
Persistent link: https://www.econbiz.de/10011011114
An increasingly popular business practice, data mining provides for the extraction of information from existing data to identify trends such as consumer purchasing practices and can foster greater efficiency in companies’ marketing efforts. There are corresponding costs associated with data...
Persistent link: https://www.econbiz.de/10010784053
We studied the problem of optimizing the performance of a DSS for churn prediction. In particular, we investigated the beneficial effect of adding the voice of customers through call center emails – i.e. textual information - to a churn prediction system that only uses traditional marketing...
Persistent link: https://www.econbiz.de/10004982892
intelligence techniques, such as OLAP (On-Line Analytical Processing), data mining and text mining. According our knowledge the …
Persistent link: https://www.econbiz.de/10008690260
Mathematica Policy Research offers a full suite of analytics services to maximize the transformative power of data and provide optimal solutions to today’s most pressing questions. Backed by decades of experience helping clients address complex challenges, we integrate state-of-the-art...
Persistent link: https://www.econbiz.de/10011144913
I presented the usage of the Weka data-mining software and the principles of text classification. I examined several … text classification methods with the help of a practical example, where I processed 4000 real estate advertisements from …
Persistent link: https://www.econbiz.de/10011070298
Highly imbalanced data sets are those where the class of interest is rare. In this paper, we compare the performance of several common data mining methods, logistic regression, discriminant analysis, Classification and Regression Tree (CART) models, C5, and Support Vector Machines (SVM) in...
Persistent link: https://www.econbiz.de/10010988336
Transportation demand modeling has evolved in scope, theory, and practice in the many decades since the US Bureau of Public Roads pioneered home interview transportation studies in metropolitan households in the early 1940s. The major currents of these developments are discussed in the present...
Persistent link: https://www.econbiz.de/10010989523
Workforce analytics (i.e., statistical analysis, modeling and mining of HR data) is particularly important in service industries. Service industries are people-intensive and the knowledge and expertise of the people within an organization is a strategic resource critical for success. Performance...
Persistent link: https://www.econbiz.de/10010990660
This paper demonstrates the hazard of “stir-fry” regressions, which are used extensively in financial research to produce desirable results by reporting only one or a small number of regressions out of the tens or hundreds that are typically estimated. It is shown, by using data on the...
Persistent link: https://www.econbiz.de/10010991639