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» Techniques of Cluster Algorithms in Data Mining
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ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 4 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
ERCIMDL
1997
Springer
106views Education» more  ERCIMDL 1997»
15 years 10 months ago
Scalable Text Retrieval for Large Digital Libraries
It is argued that digital libraries of the future will contain terabyte-scale collections of digital text and that full-text searching techniques will be required to operate over c...
David Hawking
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
16 years 1 months ago
Cartesian contour: a concise representation for a collection of frequent sets
In this paper, we consider a novel scheme referred to as Cartesian contour to concisely represent the collection of frequent itemsets. Different from the existing works, this sche...
Ruoming Jin, Yang Xiang, Lin Liu
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 6 months ago
Discovering complex matchings across web query interfaces: a correlation mining approach
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. While complex matchings ...
Bin He, Kevin Chen-Chuan Chang, Jiawei Han
ICDM
2005
IEEE
179views Data Mining» more  ICDM 2005»
16 years 17 hour ago
Bagging with Adaptive Costs
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
Yi Zhang, W. Nick Street