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PURPOSE We propose a patient-specific algorithm for seizure prediction using multiple features of spectral power from electroencephalogram (EEG) and support vector machine (SVM) classification. METHODS The proposed patient-specific algorithm consists of preprocessing, feature extraction, SVM classification, and postprocessing. Preprocessing removes(More)
In designing consumer durables such as appliances and power tools, it is important to account for variations in product performance across different usage situations and conditions. Since the specific usage of the product and the usage conditions can vary, the resultant variations in product performance also can impact consumer preferences for the product.(More)
We present an integrated design and marketing approach to facilitate the generation of an optimal robust set of product design alternatives to carry forward to the prototyping stage. The approach considers variability in both (i) engineering design domain, and (ii) customer preferences in marketing domain. In the design domain, the approach evaluates(More)
Visual exploration has proven to be a powerful tool for multivariate data mining and knowledge discovery. Most visualization algorithms aim to find a projection from the data space down to a visually perceivable rendering space. To reveal all of the interesting aspects of multimodal data sets living in a high-dimensional space, a hierarchical visualization(More)
land. The authors thank the two anonymous JMR reviewers for their helpful comments and guidance. Consumers often use both objective and subjective criteria to evaluate a product. For example, power tool users may evaluate a power tool on the basis of not only its objective attributes, such as price and switch type, but also its subjective characteristics,(More)
Product line design for consumer durables often relies on close coordination between marketing and engineering domains. Product lines that evolve as " optimal " from marketers' perspective may not be " optimal " from an engineering viewpoint, and vice versa. Although extant research has proposed sophisticated techniques to handle problems that characterize(More)
I n channel structures characterized by a powerful retailer (e.g., Wal-Mart, Home Depot), the dominant retailer's acceptance of a manufacturer's new product often determines the success of the new offering. Focusing on a manufacturer in such a market, we develop an approach to positioning and pricing a new product that directly incorporates the retailer's(More)
PURPOSE This paper examines the effect of spatial aggregation error on statistical estimates of the association between spatial access to health care and late-stage cancer. METHODS Monte Carlo simulation was used to disaggregate cancer cases for two Illinois counties from zip code to census block in proportion to the age-race composition of the block(More)
The authors explore how firms can enhance consumer performance in online idea generation platforms. Most, if not all, online idea generation platforms offer all consumers identical tasks in which (1) participants are granted access to ideas from other participants and (2) ideas are classified into categories, but consumers can navigate freely across idea(More)