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ER
2004
Springer
79views Database» more  ER 2004»
16 years 3 days ago
Multi-phase Process Mining: Building Instance Graphs
Abstract. Deploying process-driven information systems is a time-consuming and error-prone task. Process mining attempts to improve this by automatically generating a process model...
Boudewijn F. van Dongen, Wil M. P. van der Aalst
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
15 years 11 months ago
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu

Dataset
764views
15 years 10 months ago
PItowns: Evaluation database for sign detection
Traffic Image database for the evaluation of road signs extraction algorithms. In any publication related to the use of this image database, your are kindly requested to cite the ...
163
Voted
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
16 years 7 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 7 months ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...