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» A Microeconomic View of Data Mining
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AUSDM
2006
Springer
93views Data Mining» more  AUSDM 2006»
15 years 5 months ago
Visualisation and Exploration of Scientific Data Using Graphs
Abstract. We present a prototype application for graph-based data exploration and mining, with particular emphasis on scientific data. The application has a Flash-based graphical i...
Ben Raymond, Lee Belbin
PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
15 years 8 months ago
When does Co-training Work in Real Data?
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
Charles X. Ling, Jun Du, Zhi-Hua Zhou
234
Voted
ISMIS
2011
Springer
14 years 4 months ago
Data Access Paths in Processing of Sets of Frequent Itemset Queries
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...
Piotr Jedrzejczak, Marek Wojciechowski
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
15 years 3 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
122
Voted
CINQ
2004
Springer
119views Database» more  CINQ 2004»
15 years 7 months ago
How to Quickly Find a Witness
The subfield of itemset mining is essentially a collection of algorithms. Whenever a new type of constraint is discovered, a specialized algorithm is proposed to handle it. All o...
Daniel Kifer, Johannes Gehrke, Cristian Bucila, Wa...