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» A Meta Model for Process Mining Data
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141
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KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 3 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
158
Voted
CG
2007
Springer
15 years 3 months ago
Visual data mining and analysis of software repositories
In this article we describe an ongoing effort to integrate information visualization techniques into the process of configuration management for software systems. Our focus is to...
Lucian Voinea, Alexandru Telea
123
Voted
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
166
Voted
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 10 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
IADIS
2004
15 years 4 months ago
OLAP in enterprise decision modelling
This paper describes the application of online analytical processing (OLAP) in the field of data mining. We discuss knowledge discovery in enterprise databases as well as data war...
Perihan Kilimci, Bora Gökçe, Oya Kalip...