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SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
15 years 6 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
SDM
2009
SIAM
118views Data Mining» more  SDM 2009»
15 years 6 months ago
Finding Links and Initiators: A Graph-Reconstruction Problem.
Consider a 0–1 observation matrix M, where rows correspond to entities and columns correspond to signals; a value of 1 (or 0) in cell (i, j) of M indicates that signal j has bee...
Evimaria Terzi, Heikki Mannila
SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
15 years 6 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson
83
Voted
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 6 months ago
Measuring Discrimination in Socially-Sensitive Decision Records.
Discrimination in social sense (e.g., against minorities and disadvantaged groups) is the subject of many laws worldwide, and it has been extensively studied in the social and eco...
Dino Pedreschi, Franco Turini, Salvatore Ruggieri
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
15 years 6 months ago
CORE: Nonparametric Clustering of Large Numeric Databases.
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
Andrej Taliun, Arturas Mazeika, Michael H. Bö...