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AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
KDD
2001
ACM
164views Data Mining» more  KDD 2001»
15 years 10 months ago
Data mining criteria for tree-based regression and classification
This paper is concerned with the construction of regression and classification trees that are more adapted to data mining applications than conventional trees. To this end, we pro...
Andreas Buja, Yung-Seop Lee
CORR
2000
Springer
230views Education» more  CORR 2000»
14 years 9 months ago
Integrating E-Commerce and Data Mining: Architecture and Challenges
We show that the e-commerce domain can provide all the right ingredients for successful data mining. We describe an integrated architecture for supporting this integration. The ar...
Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zhen...
MINENET
2005
ACM
15 years 3 months ago
Topographical proximity for mining network alarm data
Increasingly powerful fault management systems are required to ensure robustness and quality of service in today’s networks. In this context, event correlation is of prime impor...
Ann Devitt, Joseph Duffin, Robert Moloney
IPPS
2007
IEEE
15 years 4 months ago
Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms
The knowledge discovery process is interactive in nature and therefore minimizing query response time is imperative. The compute and memory intensive nature of data mining algorit...
Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shi...