12 search results - page 2 / 3 » Discovering Frequent Substructures in Large Unordered Trees |
ICDE
2004
IEEE
14 years 6 months ago
2004
IEEE
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
PAKDD
2004
ACM
13 years 10 months ago
2004
ACM
Abstract. Tree structures are used extensively in domains such as computational biology, pattern recognition, XML databases, computer networks, and so on. One important problem in ...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
SIGMOD
2004
ACM
14 years 5 months ago
2004
ACM
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
RCIS
2010
13 years 3 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...