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» Mining Very Large Databases
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VLDB
1999
ACM
188views Database» more  VLDB 1999»
14 years 2 months ago
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
14 years 10 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 3 months ago
Discovering Frequent Arrangements of Temporal Intervals
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...
BTW
2009
Springer
122views Database» more  BTW 2009»
13 years 11 months ago
Model-based Classification of Data with Time Series-valued Attributes
: Similarity search and data mining on time series databases has recently attracted much attention. In this paper, we represent a data object by several time series-valued attribut...
Christian Böhm, L. Läer, Claudia Plant, ...
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
14 years 3 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...