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With the rapid development of online shopping, on-line one-to-one marketing becomes a great assistance to e-shoppers. One of the most important marketing resources is the prior daily transaction records in the database. In this study, the paper propose a new methodology for predict e-shoppers' purchase behavior that uses e-shoppers' purchase sequences. First, transaction clustering is conducted, then...
Many attempts to bridge innovation and creating market opportunity fail due to a company's incompetence to cross the chasm-the diffusion transition between the embryonic market where customers are innovators/early adopters and the profitable mass market where customers are early majority/later majority. However, the extant body of literature address the why but not the how. This paper thus presents...
Discovering knowledge from a waste amount of data has become a promising area nowadays, but at the same time it is a very intricate, uncertain and time consuming process. The complexity of a data collection, the oscillations in data quality and their impact on the discovery process, as well as the applicability of results, urge for an extensive research and gain of experience to overcome the difficulties...
The present case study focusing on TNB, Malaysia's largest power utility, concentrates on load profiles as manifestations of customer behaviour. The main objective here is to base the investigation on comparing the efficacy of the Support Vector Machine (SVM) technique with the newly emerging techniques of Extreme Learning Machine (ELM) and its OS-ELM variant as means of classification and prediction...
This paper details a new procedure in the detection module of a general framework to detect and identify abnormalities which may be due to non-technical losses (NTL) in power utilities. Fraud detection techniques have been widely used in other businesses including credit card, telecommunications and insurance companies. However, there is very limited reporting on fraud detection in power utilities...
In order to realization electronic parts product appearance quality detection control, one kind of processor based on the intelligent knowledge automatic extraction and system intelligence modeling was presented. In the processor, wavelet-fuzzy technique and neural network technique are combined. Uses the fuzzy wavelet extraction image feature, and wavelet function is used as fuzzy membership function...
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