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155
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INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
15 years 3 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...
122
Voted
BTW
1999
Springer
145views Database» more  BTW 1999»
15 years 6 months ago
A Multi-Tier Architecture for High-Performance Data Mining
Data mining has been recognised as an essential element of decision support, which has increasingly become a focus of the database industry. Like all computationally expensive data...
Ralf Rantzau, Holger Schwarz
KDD
2000
ACM
121views Data Mining» more  KDD 2000»
15 years 5 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
BPM
2009
Springer
143views Business» more  BPM 2009»
15 years 3 months ago
MDPE Workbench - A Solution for Performance Related Decision Support
Abstract. Continuous optimization of business process execution including its adaptation to changes within the market environment or the company itself becomes increasingly importa...
Mathias Fritzsche, Jendrik Johannes, Sebastian Cec...
124
Voted
HICSS
2007
IEEE
126views Biometrics» more  HICSS 2007»
15 years 8 months ago
Enriching Literature Reviews with Computer-Assisted Research Mining. Case: Profiling Group Support Systems Research
In this paper we discuss and demonstrate how traditional literature reviews may be enriched by computer-assisted research profiling. Research profiling makes use of sophisticated ...
Johanna Bragge, Sami Relander, Anne Sunikka, Petri...