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IEAAIE
2009
Springer
15 years 11 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
ICWE
2010
Springer
15 years 9 months ago
A Flexible Rule-Based Method for Interlinking, Integrating, and Enriching User Data
Many Web applications provide personalized and adapted services and contents to their users. As these Web applications are becoming increasingly connected, a new interesting challe...
Erwin Leonardi, Fabian Abel, Dominik Heckmann, Eel...
PODC
2010
ACM
15 years 6 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom
NIPS
2008
15 years 6 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
COMAD
2009
15 years 5 months ago
Modeling Relational Data as Graphs for Mining
The focus of this paper is to develop algorithms and a framework for modeling transactional data stored in relational database into graphs for mining. Most of the real-world trans...
Subhesh Pradhan, Sharma Chakravarthy, Aditya Telan...