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KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 6 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
CG
2007
Springer
15 years 6 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
ICWSM
2009
15 years 4 months ago
From Generating to Mining: Automatically Scripting Conversations Using Existing Online Sources
Hearing people argue opposing sides of an issue can be a useful way to understand the topic; however, these debates or conversations often don't exist. Unfortunately, generat...
Nathan D. Nichols, Lisa M. Gandy, Kristian J. Hamm...
BDA
2001
15 years 7 months ago
Query-Driven Knowledge Discovery via OLAP manipulations
We study KDD (Knowledge Discovery in Databases) processes on OLAP (multidimensional and multilevel) data from a query point of view. Focusing on association rule mining, we consid...
Jean-François Boulicaut, Patrick Marcel, Ch...
ECIS
2001
15 years 7 months ago
Using Intranet technology to foster organizational knowledge creation
Many organizations have embraced intranets with the intent to harness the technology to support knowledge management initiatives. Despite the promise that intranet technology hold...
Jan Damsgaard, Rens Scheepers