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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 11 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
JDA
2008
87views more  JDA 2008»
13 years 9 months ago
Lossless filter for multiple repetitions with Hamming distance
Similarity search in texts, notably in biological sequences, has received substantial attention in the last few years. Numerous filtration and indexing techniques have been create...
Pierre Peterlongo, Nadia Pisanti, Fréd&eacu...
BMCBI
2008
130views more  BMCBI 2008»
13 years 10 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
KDD
2004
ACM
108views Data Mining» more  KDD 2004»
14 years 10 months ago
Sleeved coclustering
A coCluster of a m?n matrix X is a submatrix determined by a subset of the rows and a subset of the columns. The problem of finding coClusters with specific properties is of inter...
Avraham A. Melkman, Eran Shaham
IASSE
2004
13 years 11 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh