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» Introduction to Data Mining and Knowledge Discovery
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ICDE
1998
IEEE
108views Database» more  ICDE 1998»
14 years 9 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...
DASFAA
2005
IEEE
166views Database» more  DASFAA 2005»
14 years 2 months ago
NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions
Medicine Paring Analysis is one of the most important tasks in the research of Traditional Chinese Medicine Prescriptions. The most essential and difficult step is to mine associat...
Chuan Li, Changjie Tang, Jing Peng, Jianjun Hu, Yo...
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 9 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
KDD
2010
ACM
435views Data Mining» more  KDD 2010»
14 years 12 days ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 9 months ago
Applying syntactic similarity algorithms for enterprise information management
: ? Applying Syntactic Similarity Algorithms for Enterprise Information Management Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey III, Joseph Tucek, Alistair Veitch HP Laborato...
Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey...