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» Using and Learning Semantics in Frequent Subgraph Mining
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KDD
2007
ACM
177views Data Mining» more  KDD 2007»
16 years 3 days 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
CCIA
2007
Springer
15 years 5 months ago
Semantic disambiguation of taxonomies
Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) ...
David Sánchez, Antonio Moreno
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 3 days ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 6 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
WSDM
2012
ACM
300views Data Mining» more  WSDM 2012»
13 years 7 months ago
Adding semantics to microblog posts
Microblogs have become an important source of information for the purpose of marketing, intelligence, and reputation management. Streams of microblogs are of great value because o...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke