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SBBD
2000
168views Database» more  SBBD 2000»
13 years 9 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
DKE
2002
218views more  DKE 2002»
13 years 7 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
EDM
2009
116views Data Mining» more  EDM 2009»
13 years 5 months ago
Dimensions of Difficulty in Translating Natural Language into First-Order Logic
In this paper, we present a study of a large corpus of student logic exercises in which we explore the relationship between two distinct measures of difficulty: the proportion of s...
Dave Barker-Plummer, Richard Cox, Robert Dale
ICDM
2009
IEEE
131views Data Mining» more  ICDM 2009»
13 years 5 months ago
Unified Solution to Nonnegative Data Factorization Problems
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
Xiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin
SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
11 years 10 months ago
On Evaluation of Outlier Rankings and Outlier Scores
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
Erich Schubert, Remigius Wojdanowski, Arthur Zimek...