This paper proposes a new procedure and an improved model to mine association rules of customer values. The market of online shopping industry in Taiwan is the research area. Research method adopts Ward’s method to partition online shopping market into three markets. Customer values are refined from an improved RFMDR model (based on RFM/RFMDmodel). Supervised Apriori algorithm is employed with ...

In general, null values are interpreted as unknown value or inapplicable value. This paper proposes a new approach for solving the unknown value problems with Implicit Predicate (IP). The IP serves as a descriptor corresponding to a set of the unknown values, thereby expressing the semantics of them. In this paper, we demonstrate that the IP is capable of (l) enhancing the semantic expressivene...

BACKGROUND AND PURPOSE DTI is an MR imaging measure of brain tissue integrity and provides an attractive metric for use in neuroprotection clinical trials. The purpose of our study was to use DTI to evaluate the longitudinal changes in brain tissue integrity in a group of patients with MS. MATERIALS AND METHODS Twenty-one patients with MS starting natalizumab were imaged serially for 12 month...

BACKGROUND AND PURPOSE Differentiating between primary cerebral lymphoma and glioblastoma multiforme (GBM) based on conventional MR imaging sequences may be impossible. Our hypothesis was that there are significant differences in fractional anisotropy (FA) and apparent diffusion coefficient (ADC) between lymphoma and GBM, which will allow for differentiation between them. MATERIALS AND METHOD...

BACKGROUND The role of diffusion weighted imaging (DWI) to reliably differentiate tumor types and grades in pediatric cerebellar tumors is controversial. We aimed to clarify the discrepancy reported in previous articles. PROCEDURES We retrospectively evaluated the apparent diffusion coefficient (ADC) values of the enhancing, solid parts of cerebellar tumors and correlated the absolute tumor A...

Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...