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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 2 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
16 years 3 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
ISM
2005
IEEE
151views Multimedia» more  ISM 2005»
15 years 7 months ago
Video Data Mining: Mining Semantic Patterns with temporal constraints from Movies
— For efficient video data management, ‘video data mining’ is required to discover ‘semantic patterns’ which are not only previously unknown and interesting, but also as...
Kimiaki Shirahama, Koichi Ideno, Kuniaki Uehara
WWW
2009
ACM
16 years 2 months ago
Collaborative filtering for orkut communities: discovery of user latent behavior
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...
CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 2 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