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» Presenting Data from Experiments in Algorithmics
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KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 5 days 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
EUROPAR
2001
Springer
15 years 4 months ago
Experiments in Parallel Clustering with DBSCAN
We present a new result concerning the parallelisation of DBSCAN, a Data Mining algorithm for density-based spatial clustering. The overall structure of DBSCAN has been mapped to a...
Domenica Arlia, Massimo Coppola
GIS
2008
ACM
15 years 26 days ago
Heuristic algorithms for route-search queries over geographical data
In a geographical route search, given search terms, the goal is to find an effective route that (1) starts at a given location, (2) ends at a given location, and (3) travels via...
Yaron Kanza, Eliyahu Safra, Yehoshua Sagiv, Yerach...
JCDL
2006
ACM
237views Education» more  JCDL 2006»
15 years 5 months ago
Automatic extraction of table metadata from digital documents
Tables are used to present, list, summarize, and structure important data in documents. In scholarly articles, they are often used to present the relationships among data and high...
Ying Liu, Prasenjit Mitra, C. Lee Giles, Kun Bai
AISADM
2005
Springer
15 years 5 months ago
A Cooperative Multi-agent Data Mining Model and Its Application to Medical Data on Diabetes
Abstract. We present CoLe, a model for cooperative agents for mining knowledge from heterogeneous data. CoLe allows for the cooperation of different mining agents and the combinat...
Jie Gao, Jörg Denzinger, Robert C. James