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INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
13 years 10 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...
IADIS
2008
13 years 10 months ago
Ontology In Association Rules Pre-Processing And Post-Processing
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
Inhaúma Neves Ferraz, Ana Cristina Bicharra...
CAISE
2006
Springer
13 years 10 months ago
Incremental Workflow Mining for Process Flexibility
Abstract. Incremental workflow mining is a technique for automatically deriving a process model from the on-going executions of a process. This way, the process model becomes more ...
Ekkart Kindler, Vladimir Rubin, Wilhelm Schäf...
KAIS
2000
86views more  KAIS 2000»
13 years 8 months ago
A Mathematical Foundation for Improved Reduct Generation in Information Systems
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz
IJSI
2008
129views more  IJSI 2008»
13 years 8 months ago
Managing the Acronym/Expansion Identification Process for Text-Mining Applications
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince