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SDM
2007
SIAM
74views Data Mining» more  SDM 2007»
15 years 6 months ago
HACS: Heuristic Algorithm for Clustering Subsets
The term consideration set is used in marketing to refer to the set of items a customer thought about purchasing before making a choice. While consideration sets are not directly ...
Ding Yuan, W. Nick Street
FIMI
2004
123views Data Mining» more  FIMI 2004»
15 years 6 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
FIMI
2004
239views Data Mining» more  FIMI 2004»
15 years 6 months ago
LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
: For a transaction database, a frequent itemset is an itemset included in at least a specified number of transactions. A frequent itemset P is maximal if P is included in no other...
Takeaki Uno, Masashi Kiyomi, Hiroki Arimura
136
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FLAIRS
2004
15 years 6 months ago
ABSURDIST II: A Graph Matching Algorithm and its Application to Conceptual System Translation
ABSURDIST II, an extension to ABSURDIST, is an algorithm using attributed graph matching to find translations between conceptual systems. It uses information about the internal st...
Ying Feng, Robert L. Goldstone, Vladimir Menkov
EACL
2006
ACL Anthology
15 years 6 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira