Showing 1 - 10 of 1,101
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 …
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
. Finally it is shown that it is possible to support either the trade-off theory or the pecking order theory by changing model …
Persistent link: https://www.econbiz.de/10010991639
Multivariate adaptive regression splines (MARS) has become a popular data mining (DM) tool due to its flexible model building strategy for high dimensional data. Compared to well-known others, it performs better in many areas such as finance, informatics, technology and science. Many studies...
Persistent link: https://www.econbiz.de/10010994193
In this paper, an algorithm for finding piecewise linear boundaries between pattern classes is developed. This algorithm consists of two main stages. In the first stage, a polyhedral conic set is used to identify data points which lie inside their classes, and in the second stage we exclude...
Persistent link: https://www.econbiz.de/10010995405
Based on debris-flow inventories and using a geographical information system, the susceptibility models presented here take into account fluvio-morphologic parameters, gathered for every first-order catchment. Data mining techniques on the morphometric parameters are used, to work out and test...
Persistent link: https://www.econbiz.de/10010996212
Landslides during earthquakes have led to severe casualties and have resulted in damaged structures and facilities. The goal of the present study is to analyze the landslide problems in a remote area—Shei-Pa National Park in Taiwan. Spatial information techniques (Remote Sensing and Geographic...
Persistent link: https://www.econbiz.de/10010996351
This work presents the development of a rainfall-runoff model for the Iguaçu River basin in southern Brazil. The model was developed to support the operation planning of hydroelectric power plants and is intended to predict the natural flow based on meteorological rain forecasts. A recurrent...
Persistent link: https://www.econbiz.de/10010997281
Located in the circum-Pacific seismic zone, Taiwan is continually threatened by such natural disasters as typhoons, floods, landslides, and earthquakes, which increase risk of property loss and severely endanger public safety. Taipei City, the political and economic capital of Taiwan, must...
Persistent link: https://www.econbiz.de/10010846657