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» Efficiently Mining Long Patterns from Databases
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KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 3 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
AAAI
2006
14 years 11 months ago
Minimum Description Length Principle: Generators Are Preferable to Closed Patterns
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...
Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guo...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
15 years 10 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
ICDE
2004
IEEE
117views Database» more  ICDE 2004»
15 years 11 months ago
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
James Caverlee, Ling Liu, David Buttler
ICDE
2001
IEEE
154views Database» more  ICDE 2001»
15 years 11 months ago
Dependable Computing in Virtual Laboratories
Many scientific disciplines are shifting from in vitro to in silico research as more physical processes and natural phenomena are examined in a computer (in silico) instead of bei...
Gustavo Alonso, Win Bausch, Cesare Pautasso, Ari K...