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EDBT
2000
ACM
13 years 11 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
KDD
1995
ACM
173views Data Mining» more  KDD 1995»
13 years 11 months ago
Knowledge Discovery in Textual Databases (KDT)
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
Ronen Feldman, Ido Dagan
SBIA
2004
Springer
14 years 21 days ago
SKDQL: A Structured Language to Specify Knowledge Discovery Processes and Queries
Tools and techniques used for automatic and smart analysis of huge data repositories of industries, governments, corporations and scientific institutes are the subjects dealt by th...
Marcelino Pereira dos Santos Silva, Jacques Robin
ICDE
1999
IEEE
113views Database» more  ICDE 1999»
14 years 8 months ago
Capability-Sensitive Query Processing on Internet Sources
On the Internet, the limited query-processing capabilities of sources make answering even the simplest queries challenging. In this paper, we present a scheme called GenCompact fo...
Hector Garcia-Molina, Wilburt Labio, Ramana Yernen...
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
14 years 7 months ago
Customer lifetime value modeling and its use for customer retention planning
We present and discuss the important business problem of estimating the effect of retention efforts on the Lifetime Value of a customer in the Telecommunications industry. We disc...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...