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» Phenomenal Data Mining: From Data to Phenomena
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SDM
2007
SIAM
126views Data Mining» more  SDM 2007»
15 years 3 months ago
Scalable Name Disambiguation using Multi-level Graph Partition
When non-unique values are used as the identifier of entities, due to their homonym, confusion can occur. In particular, when (part of) “names” of entities are used as their ...
Byung-Won On, Dongwon Lee
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 3 months ago
Patterns of Cascading Behavior in Large Blog Graphs
How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
SDM
2007
SIAM
86views Data Mining» more  SDM 2007»
15 years 3 months ago
Identifying Bundles of Product Options using Mutual Information Clustering
Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less stand...
Claudia Perlich, Saharon Rosset
140
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SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
15 years 3 months ago
Summarizing Review Scores of "Unequal" Reviewers
A frequently encountered problem in decision making is the following review problem: review a large number of objects and select a small number of the best ones. An example is sel...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
DAGSTUHL
2004
15 years 3 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz