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EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
15 years 11 months ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
15 years 4 months ago
iSAX 2.0: Indexing and Mining One Billion Time Series
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...
Alessandro Camerra, Themis Palpanas, Jin Shieh, Ea...
158
Voted
VLDB
1998
ACM
103views Database» more  VLDB 1998»
15 years 10 months ago
The Drill Down Benchmark
Data Mining places specific requirements on DBMS query performance that cannot be evaluated satisfactorily using existing OLAP benchmarks. The DD Benchmark - defined here - provid...
Peter A. Boncz, Tim Rühl, Fred Kwakkel
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
15 years 9 months ago
Video Mining with Frequent Itemset Configurations
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
Till Quack, Vittorio Ferrari, Luc J. Van Gool
EMNLP
2009
15 years 3 months ago
Chinese Novelty Mining
Automated mining of novel documents or sentences from chronologically ordered documents or sentences is an open challenge in text mining. In this paper, we describe the preprocess...
Yi Zhang, Flora S. Tsai