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ICDM
2002
IEEE
188views Data Mining» more  ICDM 2002»
15 years 11 months ago
A Comparative Study of RNN for Outlier Detection in Data Mining
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, ...
CSMR
2000
IEEE
15 years 11 months ago
Architectural Design Recovery using Data Mining Techniques
This paper presents a technique for recovering the high level design of legacy software systems according to user defined architectural plans. Architectural plans are represented...
Kamran Sartipi, Kostas Kontogiannis, Farhad Mavadd...
APPINF
2003
15 years 8 months ago
Fast Frequent Itemset Mining using Compressed Data Representation
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...
Raj P. Gopalan, Yudho Giri Sucahyo
AEI
2007
75views more  AEI 2007»
15 years 6 months ago
Mining data from intensive care patients
In this paper we describe the application of data mining methods for predicting the evolution of patients in an intensive care unit. We discuss the importance of such methods for ...
Jan Ramon, Daan Fierens, Fabián Güiza,...
PAKDD
2010
ACM
165views Data Mining» more  PAKDD 2010»
15 years 8 months ago
Classification and Novel Class Detection in Data Streams with Active Mining
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei ...