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» Data mining in the chemical industry
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ICDM
2008
IEEE
148views Data Mining» more  ICDM 2008»
16 years 16 days ago
Formal Models for Expert Finding on DBLP Bibliography Data
Finding relevant experts in a specific field is often crucial for consulting, both in industry and in academia. The aim of this paper is to address the expert-finding task in a...
Hongbo Deng, Irwin King, Michael R. Lyu
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 10 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
16 years 6 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han
132
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INCDM
2010
Springer
129views Data Mining» more  INCDM 2010»
15 years 11 months ago
The Orange Customer Analysis Platform
In itself, the continuous exponential increase of the data-warehouses size does not necessarily lead to a richer and finer-grained information since the processing capabilities d...
Raphaël Feraud, Marc Boullé, Fabrice C...
CIKM
2005
Springer
15 years 11 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...