In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of inferred router-level connectivity, but there still exists considerable debate ...
A crucial element in consumer electronic commerce is a catalog tool that not only finds the product for the user, but also convinces him that he has made the best choice. To do th...
Abstract. Query reformulation techniques based on semantic knowledge have been used in two ways in database management systems, namely for query optimization and for data integrati...
Thing-oriented programming (TP) is an emerging programming model which overcomes some of the limitations of current practice in software development in general and of object-orient...