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» kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
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ICDE
2008
IEEE
133views Database» more  ICDE 2008»
14 years 3 months ago
Discovering popular co-cited communities in blogspaces
In a blogspace, citation behaviors reflect interests of bloggers. To fully get insight into the latent information in a blogspace, in this paper, we intend to mine popular co-cit...
Meng-Fen Chiang, Wen-Chih Peng, Chia-Hao Lo
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
14 years 1 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
SAC
2004
ACM
14 years 2 months ago
Statistical properties of transactional databases
Most of the complexity of common data mining tasks is due to the unknown amount of information contained in the data being mined. The more patterns and correlations are contained ...
Paolo Palmerini, Salvatore Orlando, Raffaele Pereg...
FIMI
2004
123views Data Mining» more  FIMI 2004»
13 years 10 months ago
Surprising Results of Trie-based FIM Algorithms
Trie is a popular data structure in frequent itemset mining (FIM) algorithms. It is memory-efficient, and allows fast construction and information retrieval. Many trie-related tec...
Ferenc Bodon
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 8 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor