Overview of Selected Segmentation Approaches Segmentation approaches can range from throwing darts at the data to human judgment and to advanced cluster modeling. We will explore four such methods: factor segmentation, k-means clustering, TwoStep cluster analysis, and latent class cluster analysis. Factor Segmentation Factor segmentation is based on factor analysis. The first step is to factor-...

In this paper we propose a fully unsupervised approach for product aspect discovery in on-line consumer reviews. We apply a twostep hierarchical clustering process in which we first cluster words representing aspects based on the semantic similarity of their contexts and then on the similarity of the hypernyms of the cluster members. Our approach also includes a method for assigning class label...

In civil engineering, computational modeling is widely used in the design process at the structural level. In contrast to that, an automated support for the selection or design of construction materials is currently not available. Specification of material properties and model parameters has a strong influence on the results. Therefore, an uncoupled twostep approach is employed to provide relat...

Common search engines deliver quite good results when the user has a precise notion of what he is looking for. However, the user might have in mind additional prior information regarding the importance of specific terms. Consequently, it seems desirable to avoid the latter and incorporate the knowledge into the query instead. Therefore, we propose a search user interface concept that supports u...

The aim of the paper is to present a study on the high-order latent variables for the partial least squares path modelling (PLS-PM). A Monte Carlo simulation study is proposed for comparing the performances of the two bestknown methods for modelling higher-order constructs, namely the repeated indicators and the twostep approaches. The simulation results, far from covering all the potential use...

We present new results building on the conservative deterministic spectral method for the space inhomogeneous Boltzmann equation developed by Gamba and Tharkabhushaman. This approach is a twostep process that acts on the weak form of the Boltzmann equation, and uses the machinery of the Fourier transform to reformulate the collisional integral into a weighted convolution in Fourier space. A con...

This paper presents two models typical of two different approaches often used for modelling the advective-dispersive transport of multiple ions in variably-saturated porous media. The first approach assumes that all solute reactions can be incorporated directly into the governing transport equations (the one-step method), while the second approach divides the mathematical solution process into ...

In the recent decade, the rapid development of biometric technologies for security applications spurred increased interest in both academic research community and industrial sectors. Fingerprint images frequently have poor characteristics, because these traces are captured in crime places and are left on objects of different structure. The quality of the fingerprint images greatly affects the p...

Today there are quite a few widespread misconceptions of exploratory data analysis (EDA). One of these misperceptions is that EDA is said to be opposed to statistical modeling. Actually, the essence of EDA is not about putting aside all modeling and preconceptions; rather, researchers are urged not to start the analysis with a strong preconception only, and thus modeling is still legitimate in ...

Signal acquisition plays a critical role on the bit error rate (BER) of a direct sequence spread spectrum (DS/SS) communication system working with low frequency. In this paper, we propose a new signal acquisition method. The acquisition process includes coarse matched filter (MF) location in the first stage and an accurate MF acquisition as a verification mode for the second stage. The perform...