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» An Overview of Database Mining Techniques
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KDD
1995
ACM
108views Data Mining» more  KDD 1995»
13 years 11 months ago
A Statistical Perspective On Knowledge Discovery In Databases
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
John F. Elder IV, Daryl Pregibon
EDBT
2012
ACM
257views Database» more  EDBT 2012»
11 years 10 months ago
Indexing and mining topological patterns for drug discovery
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
Sayan Ranu, Ambuj K. Singh
CORR
2002
Springer
139views Education» more  CORR 2002»
13 years 7 months ago
Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
Boris Kovalerchuk, Evgenii Vityaev, H. Yusupov
IDEAS
2005
IEEE
99views Database» more  IDEAS 2005»
14 years 1 months ago
Distribution-Based Synthetic Database Generation Techniques for Itemset Mining
The resource requirements of frequent pattern mining algorithms depend mainly on the length distribution of the mined patterns in the database. Synthetic databases, which are used...
Ganesh Ramesh, Mohammed Javeed Zaki, William Mania...
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 10 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo