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ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
14 years 3 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
VLDB
1997
ACM
169views Database» more  VLDB 1997»
14 years 1 months ago
Mining Insurance Data at Swiss Life
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Jörg-Uwe Kietz, Ulrich Reimer, Martin Staudt
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
14 years 2 months ago
On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources
Machine learning techniques for data extraction from semistructured sources exhibit different precision and recall characteristics. However to date the formal relationship between...
Guizhen Yang, Saikat Mukherjee, I. V. Ramakrishnan
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
14 years 3 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak