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» Mining for Patterns in Contradictory Data
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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 4 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
JCIT
2008
165views more  JCIT 2008»
15 years 4 months ago
Mining Processes using cluster approach for representing workflows
Although much attention is being paid to business Intelligence during the past decades, the design for applying business Intelligence and particularly in a workflow processes is s...
N. P. Kavya, M. V. Sathyanarayana, N. C. Naveen
116
Voted
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
15 years 10 months ago
Mining for Tree-Query Associations in a Graph
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Eveline Hoekx, Jan Van den Bussche
KDD
2006
ACM
123views Data Mining» more  KDD 2006»
16 years 4 months ago
Mining rank-correlated sets of numerical attributes
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
Toon Calders, Bart Goethals, Szymon Jaroszewicz
160
Voted
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
15 years 6 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo