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IDA
2011
Springer
13 years 4 months ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...
ICDM
2003
IEEE
160views Data Mining» more  ICDM 2003»
14 years 2 months ago
Indexing and Mining Free Trees
Tree structures are used extensively in domains such as computational biology, pattern recognition, computer networks, and so on. In this paper, we present an indexing technique f...
Yun Chi, Yirong Yang, Richard R. Muntz
DASFAA
2005
IEEE
171views Database» more  DASFAA 2005»
14 years 2 months ago
Mining Succinct Systems of Minimal Generators of Formal Concepts
Formal concept analysis has become an active field of study for data analysis and knowledge discovery. A formal concept C is determined by its extent (the set of objects that fall...
Guozhu Dong, Chunyu Jiang, Jian Pei, Jinyan Li, Li...
SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
14 years 6 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...
DATAMINE
1999
152views more  DATAMINE 1999»
13 years 8 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen