374 search results - page 9 / 75 » A generative pattern model for mining binary datasets |
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based Substructure pattern mining), which...
104
click to vote
IPPS
2003
IEEE
15 years 2 months ago
2003
IEEE
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
AAAI
2006
14 years 11 months ago
2006
The generators and the unique closed pattern of an equivalence class of itemsets share a common set of transactions. The generators are the minimal ones among the equivalent items...