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AI
2005
Springer
14 years 2 months ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
14 years 26 days ago
On Objective Measures of Rule Surprisingness
Most of the literature argues that surprisingness is an inherently subjective aspect of the discovered knowledge, which cannot be measured in objective terms. This paper departs fr...
Alex Alves Freitas
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
14 years 2 months ago
Entity Resolution with Markov Logic
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in...
Parag Singla, Pedro Domingos
KDD
2012
ACM
244views Data Mining» more  KDD 2012»
11 years 11 months ago
Open domain event extraction from twitter
Tweets are the most up-to-date and inclusive stream of information and commentary on current events, but they are also fragmented and noisy, motivating the need for systems that c...
Alan Ritter, Mausam, Oren Etzioni, Sam Clark
CSMR
2000
IEEE
14 years 1 months ago
Architectural Design Recovery using Data Mining Techniques
This paper presents a technique for recovering the high level design of legacy software systems according to user defined architectural plans. Architectural plans are represented...
Kamran Sartipi, Kostas Kontogiannis, Farhad Mavadd...