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» Mining Frequent Itemsets in a Stream
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KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 26 days ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
EDBT
2008
ACM
150views Database» more  EDBT 2008»
14 years 6 months ago
Cost-based query optimization for complex pattern mining on multiple databases
For complex data mining queries, query optimization issues arise, similar to those for the traditional database queries. However, few works have applied the cost-based query optim...
Ruoming Jin, David Fuhry, Abdulkareem Alali
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
14 years 7 months ago
Succinct summarization of transactional databases: an overlapped hyperrectangle scheme
Transactional data are ubiquitous. Several methods, including frequent itemsets mining and co-clustering, have been proposed to analyze transactional databases. In this work, we p...
Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dr...
IS
2010
13 years 5 months ago
Tree pattern mining with tree automata constraints
Most work on pattern mining focuses on simple data structures such as itemsets and sequences of itemsets. However, a lot of recent applications dealing with complex data like chem...
Sandra de Amo, Nyara A. Silva, Ronaldo P. Silva, F...
VLDB
2002
ACM
106views Database» more  VLDB 2002»
13 years 6 months ago
Approximate Frequency Counts over Data Streams
We present algorithms for computing frequency counts exceeding a user-specified threshold over data streams. Our algorithms are simple and have provably small memory footprints. A...
Gurmeet Singh Manku, Rajeev Motwani