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113
Voted
SEMWEB
2010
Springer
15 years 1 months ago
Auto-experimentation of KDD Workflows Based on Ontological Planning
One of the problems of Knowledge Discovery in Databases (KDD) is the lack of user support for solving KDD problems. Current Data Mining (DM) systems enable the user to manually des...
Floarea Serban
113
Voted
KDD
2003
ACM
145views Data Mining» more  KDD 2003»
16 years 3 months ago
Evidence combination in biomedical natural-language processing
Marios Skounakis, Mark Craven
105
Voted
KDD
2010
ACM
268views Data Mining» more  KDD 2010»
15 years 5 months ago
Data mining to predict and prevent errors in health insurance claims processing
Mohit Kumar, Rayid Ghani, Zhu-Song Mei
154
Voted
IDA
2009
Springer
15 years 1 months ago
Ontology-Driven KDD Process Composition
Abstract. One of the most interesting challenges in Knowledge Discovery in Databases (KDD) eld is giving support to users in the composition of tools for forming a valid and useful...
Claudia Diamantini, Domenico Potena, Emanuele Stor...
127
Voted
CMG
2001
15 years 4 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman