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115
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VLDB
1998
ACM
103views Database» more  VLDB 1998»
15 years 7 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
106
Voted
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
15 years 6 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
128
Voted
EMNLP
2009
15 years 17 days 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
103
Voted
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 3 months ago
Detecting time series motifs under uniform scaling
Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule-discovery, novelty-detection...
Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bil...
103
Voted
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
15 years 9 months ago
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines
We present and discuss several spatiotemporal kernels designed to mine real-life and simulated data in support of drought prediction. We implement and empirically validate these k...
Matthew W. Collier, Amy McGovern