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KDD
2005
ACM
165views Data Mining» more  KDD 2005»
16 years 8 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 12 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott

Publication
197views
14 years 3 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...

Book
290views
17 years 5 months ago
Database System Concepts
A set of presentations that cover the book, which includes several topics such as relational database systems such as Relational Databases, Database Design, Object-Based Databases ...
Avi Silberschatz, Henry F. Korth, S. Sudarshan
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 8 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...