We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...
This paper proposes a scheme for scheduling disk requests that takes advantage of the ability of high-level functions to operate directly at individual disk drives. We show that s...
Erik Riedel, Christos Faloutsos, Gregory R. Ganger...
The education domain offers a fertile ground for many interesting and challenging data mining applications. These applications can help both educators and students, and improve th...
Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu...
Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets hav...
Thales Sehn Korting, Leila Maria Garcia Fonseca, M...
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...