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» Clustering with Multiple Graphs
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92
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KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 6 months ago
Cross-relational clustering with user's guidance
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
ICML
1996
IEEE
15 years 4 months ago
Discovering Structure in Multiple Learning Tasks: The TC Algorithm
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
Sebastian Thrun, Joseph O'Sullivan
74
Voted
SIGMOD
2010
ACM
151views Database» more  SIGMOD 2010»
15 years 25 days ago
Exploring schema similarity at multiple resolutions
Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. ...
Ken Smith, Craig Bonaceto, Chris Wolf, Beth Yost, ...
FUZZIEEE
2007
IEEE
15 years 7 months ago
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...
88
Voted
CLUSTER
2002
IEEE
15 years 5 months ago
Mixed Mode Matrix Multiplication
In modern clustering environments where the memory hierarchy has many layers (distributed memory, shared memory layer, cache,  ¡ ¢  ), an important question is how to fully u...
Meng-Shiou Wu, Srinivas Aluru, Ricky A. Kendall