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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 8 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
KDD
2007
ACM
153views Data Mining» more  KDD 2007»
14 years 8 months ago
Exploiting duality in summarization with deterministic guarantees
Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic q...
Panagiotis Karras, Dimitris Sacharidis, Nikos Mamo...
KDD
2006
ACM
109views Data Mining» more  KDD 2006»
14 years 8 months ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 8 months ago
High-throughput Protein Interactome Data: Minable or Not?
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
Jake Yue Chen, Andrey Y. Sivachenko, Lang Li
KDD
2004
ACM
143views Data Mining» more  KDD 2004»
14 years 8 months ago
Incremental maintenance of quotient cube for median
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wan...