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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 2 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
134
Voted
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
16 years 2 months ago
Mining optimal decision trees from itemset lattices
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
Élisa Fromont, Siegfried Nijssen
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
16 years 2 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
KDD
2005
ACM
140views Data Mining» more  KDD 2005»
16 years 2 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...
HPCA
2006
IEEE
16 years 2 months ago
Last level cache (LLC) performance of data mining workloads on a CMP - a case study of parallel bioinformatics workloads
With the continuing growth in the amount of genetic data, members of the bioinformatics community are developing a variety of data-mining applications to understand the data and d...
Aamer Jaleel, Matthew Mattina, Bruce L. Jacob
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