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» Theoretical Frameworks for Data Mining
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ICFCA
2007
Springer
15 years 1 months ago
A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data
Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations ...
Mohamed Rouane Hacene, Marianne Huchard, Amedeo Na...
TMM
2002
104views more  TMM 2002»
14 years 9 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
CIKM
2010
Springer
14 years 8 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
15 years 7 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
LWA
2008
14 years 11 months ago
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receiv...
Felix Jungermann, Katharina Morik