An Evaluation of Classification Methods for 3D Printing Time-Series Data

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...

Metrology for 3D Printing: Assessing Methods for the Evaluation of 3D Printing Products

An Empirical Evaluation of Similarity Measures for Time Series Classification

Time series are ubiquitous, and a measure to assess their similarity is a core part of many computational systems. In particular, the similarity measure is the most essential ingredient of time series clustering and classification systems. Because of this importance, countless approaches to estimate time series similarity have been proposed. However, there is a lack of comparative studies using...

Fusion Methods for Time-Series Classification

History UPDATE 1 (18 AUG 2011) – Updated according to the formatting requests of the publisher (Peter Lang Verlag), e.g. Abstract and Erklärung are deleted, etc. UPDATE 2 (27 AUG 2011) – Updated based on native-English proofreading. Acknowledgments It is hardly possible to recollect the names of all the persons who directly or indirectly inspired my research through discussions, conference talk...

Some New Methods for Prediction of Time Series by Wavelets

Extended Abstract. Forecasting is one of the most important purposes of time series analysis. For many years, classical methods were used for this aim. But these methods do not give good performance results for real time series due to non-linearity and non-stationarity of these data sets. On one hand, most of real world time series data display a time-varying second order structure. On th...