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ADBIS
1998
Springer
118views Database» more  ADBIS 1998»
15 years 6 months ago
Itemset Materializing for Fast Mining of Association Rules
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
Marek Wojciechowski, Maciej Zakrzewicz
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
15 years 6 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
CATA
2000
15 years 3 months ago
Fast connected component labeling algorithm using a divide and conquer technique
We investigate a method to speed up the O(n3 ) labeling algorithm of Rosenfeld and Pfaltz for segmenting binary images, which is unduly complex for large images. That algorithm sea...
June-Me Park, Carl G. Looney, Hui-Chuan Chen
ALT
2010
Springer
15 years 3 months ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
Kotagiri Ramamohanarao
JMLR
2012
13 years 4 months ago
Active Clustering of Biological Sequences
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...