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AVI
2008
15 years 7 months ago
Query-through-drilldown: data-oriented extensional queries
Traditional database query formulation is intensional: at the level of schemas, table and column names. Previous work has shown that filters can be created using a query paradigm ...
Alan J. Dix, Damon Oram
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
16 years 29 days ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...
KDD
1998
ACM
107views Data Mining» more  KDD 1998»
15 years 10 months ago
Giga-Mining
Wedescribe an industrial-strength data mining application in telecommunications.Theapplication requires building a short (7 byte) profile for all telephonenumbersseen on a large t...
Corinna Cortes, Daryl Pregibon
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
15 years 10 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
JCIT
2010
174views more  JCIT 2010»
15 years 1 months ago
Efficient Ming of Top-K Closed Sequences
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
Panida Songram