In this paper, an integrated architecture of objects, agents, and problem solving adapters to model information systems is presented. The approach employs task-based problem solving adapters as a means for mapping stakeholder tasks and for integrating software artifacts like objects and agents in an information system. The integrated approach is applicable for developing database systems, manag...

This report, prepared with the support of MSI and the Yaffe Center, is being sent to you for your information and review. It is not to be reproduced or published, in any form or by any means, electronic or mechanical, without written permission from the Institute and the author. Introduction This joint report of the Marketing Science Institute and the University of Michigan's Yaffe Center for P...

Orphanet database (www.orpha.net) was searched for orphan drugs with a marketing authorization between 2002 and July 2014. Rare diseases for which two or more orphan drugs were available were selected. Decisions from five HTA agencies were considered: AWMSG (Wales), CADTH (Canada), NICE (England), PBAC (Australia), and SMC (Scotland). Assessments that resulted in a rejection were examined for k...

A new system for real-time customer relationship management is proposed. The system is based on deploying a network of RFID readers throughout an environment. Information about the presence or lingering of participating customers at different times of day is collected providing valuable marketing information for better service provision. The implementation of the proposed system includes a data...

The last decade has witnessed the apparition of applied problems typified by very high-dimensional variables, in marketing database or gene expression studies for instance. Graphical models (Lauritzen (1996)) enable concise representations of associational relations between variables. If the graph is known, the parameters of the model are easily estimated. However, a quite challenging issue is ...

Data Mining is taking out of hidden patterns from huge database. It is commonly used in a marketing, surveillance, fraud detection and scientific discovery. In data mining, machine learning is mainly focused as research which is automatically learnt to recognize complex patterns and make intelligent decisions based on data. Nowadays traffic accidents are the major causes of death and injuries i...

Clustering is a process of dividing the data into groups of similar objects and dissimilar ones from other objects. Representation of data by fewer clusters necessarily loses fine details, but achieves simplification. Data is model by its clusters. Clustering plays an significant part in applications of data mining such as scientific data exploration, information retrieval, text mining, city-pl...

We describe the design and implementation of a web-based statistical program— the Interactive Profiler (IP). The prototypical program, developed in Java, was motivated by the need for the general public to query against data collected from the National Assessment of Educational Progress (NAEP), a large-scale US survey of the academic state of American students. The emphasis of the program requi...

Analysing customers in groups is one of the most fundamental issues in Marketing. It helps companies sufficiently learn from their customers, and rationally design their marketing strategies. Given a customer database with n records (customers) and m attributes (one’s characteristics) stored, different approaches can be applied to automatically segment (cluster) records in divisions. In this pa...