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ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
13 years 10 months ago
Merging Interface Schemas on the Deep Web via Clustering Aggregation
We consider the problem of integrating a large number of interface schemas over the Deep Web, The scale of the problem and the diversity of the sources present serious challenges ...
Wensheng Wu, AnHai Doan, Clement T. Yu
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
13 years 10 months ago
Hot Item Mining and Summarization from Multiple Auction Web Sites
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for biddi...
Tak-Lam Wong, Wai Lam
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
13 years 10 months ago
A Bernoulli Relational Model for Nonlinear Embedding
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. L...
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
13 years 10 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
ICDM
2005
IEEE
254views Data Mining» more  ICDM 2005»
13 years 10 months ago
Supervised Tensor Learning
Dacheng Tao, Xuelong Li, Weiming Hu, Stephen J. Ma...
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
13 years 10 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
13 years 10 months ago
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints
In constraint-based mining, the monotone and antimonotone properties are exploited to reduce the search space. Even if a constraint has not such suitable properties, existing algo...
Arnaud Soulet, Bruno Crémilleux
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
13 years 10 months ago
Pruning Social Networks Using Structural Properties and Descriptive Attributes
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
Lisa Singh, Lise Getoor, Louis Licamele
ICDM
2005
IEEE
272views Data Mining» more  ICDM 2005»
13 years 10 months ago
Mining Patterns of Change in Remote Sensing Image Databases
Remote sensing image databases are the fastest growing archives of spatial information. However, we still have a limited capacity for extracting information from large remote sens...
Marcelino Pereira dos Santos Silva, Gilberto C&aci...