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ICDE
2004
IEEE
116views Database» more  ICDE 2004»
16 years 7 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen
150
Voted
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 6 months ago
Data Mining for Typhoon Image Collection
This paper introduces the application of data mining methods to the analysis and prediction of the typhoon. The testbed for this research is the typhoon image collection that we e...
Asanobu Kitamoto
ADC
2008
Springer
156views Database» more  ADC 2008»
16 years 15 days ago
Interactive Mining of Frequent Itemsets over Arbitrary Time Intervals in a Data Stream
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
Ming-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
16 years 6 months ago
Mining tree queries in a graph
We present an algorithm for mining tree-shaped patterns in a large graph. Novel about our class of patterns is that they can contain constants, and can contain existential nodes w...
Bart Goethals, Eveline Hoekx, Jan Van den Bussche
HM
2005
Springer
98views Optimization» more  HM 2005»
15 years 11 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...