Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
This paper discusses a scalable solution for integrating legacy illustrated parts drawings into a Class IV Interactive Electronic Technical Manual (IETM) [1,2]. An IETM is an inte...
This paper presents our hybrid architectural model for Distributed Data Mining (DDM) which is tailored to meet the needs of e-businesses where application service providers sell D...
Shonali Krishnaswamy, Arkady B. Zaslavsky, Seng Wa...
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...