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SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
14 years 2 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
SIGKDD
2002
162views more  SIGKDD 2002»
14 years 11 months ago
Background and Overview for KDD Cup 2002 Task 1: Information Extraction from Biomedical Articles
This paper presents a background and overview for task 1 (of 2 tasks) of the KDD Challenge Cup 2002, a competition held in conjunction with the ACM SIGKDD International Conference...
Alexander S. Yeh, Lynette Hirschman, Alexander A. ...
AMAI
2007
Springer
14 years 12 months ago
Relational concept discovery in structured datasets
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Marianne Huchard, Mohamed Rouane Hacene, Cyril Rou...
CMG
2001
15 years 1 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
EDBT
2000
ACM
15 years 4 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