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INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
15 years 6 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
IFIP12
2008
15 years 5 months ago
Mining Fuzzy Association Rules from Composite Items
This paper presents an approach for mining fuzzy Association Rules (ARs) relating the properties of composite items, i.e. items that each feature a number of values derived from a ...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
WICSA
2001
15 years 5 months ago
MAP - Mining Architectures for Product Line Evaluations
Product lines evolve out of existing products. In order to evaluate the potential of creating a product line from existing products it is necessary to `mine' their architectu...
Christoph Stoermer, Liam O'Brien
KER
2011
14 years 7 months ago
Data mining: past, present and future
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Frans Coenen
CINQ
2004
Springer
180views Database» more  CINQ 2004»
15 years 8 months ago
Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS
The conflict between resource consumption and query performance in the data mining context often has no satisfactory solution. This not only stands in sharp contrast to the need of...
Matthias Gimbel, Michael Klein, Peter C. Lockemann