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ALT
2001
Springer
16 years 3 months ago
Inventing Discovery Tools: Combining Information Visualization with Data Mining
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
Ben Shneiderman
DIS
2004
Springer
16 years 8 days ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
15 years 8 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...
IRMA
2000
15 years 8 months ago
A survey of spatial data mining methods databases and statistics point of views
This paper reviews the data mining methods that are combined with Geographic Information Systems (GIS) for carrying out spatial analysis of geographic data. We will first look at d...
Karine Zeitouni
BTW
1999
Springer
145views Database» more  BTW 1999»
15 years 11 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