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ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 2 days ago
Spatial Multidimensional Sequence Clustering
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...
ICDM
2007
IEEE
143views Data Mining» more  ICDM 2007»
14 years 11 days ago
Bit Sequences and Biclustering of Text Documents
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
Selim Mimaroglu, Kuniaki Uehara
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
14 years 6 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
JCP
2006
139views more  JCP 2006»
13 years 6 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 10 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse