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» Mining frequent itemsets in time-varying data streams
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DATAMINE
1999
152views more  DATAMINE 1999»
14 years 9 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
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
15 years 10 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...
EDBT
2008
ACM
150views Database» more  EDBT 2008»
15 years 9 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
83
Voted
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
15 years 9 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
93
Voted
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
15 years 10 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda