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FIMI
2004
175views Data Mining» more  FIMI 2004»
14 years 11 months ago
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Yudho Giri Sucahyo, Raj P. Gopalan
FIMI
2003
95views Data Mining» more  FIMI 2003»
14 years 11 months ago
Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets
A simple new algorithm is suggested for frequent itemset mining, using item probabilities as the basis for generating candidates. The method first finds all the frequent items, an...
Attila Gyenesei, Jukka Teuhola
ICIS
2000
14 years 11 months ago
A framework of knowledge management systems: issues and challenges for theory and practice
As the basis of value creation increasingly depends on the leverage of the intangible assets of firms, Knowledge Management Systems (KMS) are emerging as powerful sources of compe...
Jungpil Hahn, Mani R. Subramani
UAI
2000
14 years 11 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
76
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AAAI
1994
14 years 11 months ago
Visual Semantics: Extracting Visual information from Text Accompanying Pictures
This research explores the interaction of textual and photographic information in document understanding. The problem of performing generalpurpose vision without apriori knowledge...
Rohini K. Srihari, Debra T. Burhans