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» Mining Multiple Large Databases
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ICDE
2009
IEEE
176views Database» more  ICDE 2009»
14 years 9 months ago
Discovering Conditional Functional Dependencies
This paper investigates the discovery of conditional functional dependencies (CFDs). CFDs are a recent extension of functional dependencies (FDs) by supporting patterns of semantic...
Wenfei Fan, Floris Geerts, Laks V. S. Lakshmanan, ...
SIGMOD
2010
ACM
310views Database» more  SIGMOD 2010»
14 years 1 days ago
The DataPath system: a data-centric analytic processing engine for large data warehouses
Since the 1970’s, database systems have been “compute-centric”. When a computation needs the data, it requests the data, and the data are pulled through the system. We belie...
Subi Arumugam, Alin Dobra, Christopher M. Jermaine...
ICDE
2004
IEEE
116views Database» more  ICDE 2004»
14 years 9 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen
DEXA
2004
Springer
190views Database» more  DEXA 2004»
14 years 1 months ago
On Efficient and Effective Association Rule Mining from XML Data
: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently and effectively. In XAR-Miner, raw XML data are first transformed to either...
Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A. Mi...
BMCBI
2007
102views more  BMCBI 2007»
13 years 7 months ago
Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
Luis A. Diago, Persy Morell, Longendri Aguilera, E...