Computing iceberg concept lattices with T

By Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas Pasquier, Lotfi Lakhal. Data & Knowledge Engineering, 2002

518 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/d4dde780b032a9741477621ee0d4438df49656ad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Weizhi Wu
2. Jusheng Mi
3. Yee Leung
4. Vasile Palade
5. Andreas Holzinger
6. Tru Hoang Cao
7. Massimo Ferri
8. Qinghua Hu

In Information Systems

1. Weizhi Wu
2. Siu Cheung Hui
3. Yee Leung
4. Vasile Palade
5. Jusheng Mi
6. Andreas Holzinger
7. Massimo Ferri
8. Randy Goebel

In Signal Processing

1. Vasile Palade
2. Siu Cheung Hui
3. Yee Leung
4. Jusheng Mi
5. Andreas Holzinger
6. Weizhi Wu

Citations in the corpus

• Towards Integrative Machine Learning and Knowledge Extraction (2017, background): “5) can be fused with two other sources of data: (1) Clinical data from electronic patient records [30], which contain documentations, reports, but also laboratory tests, physiological parameters, recorded signals, ECG, EEG, etc.”
• Granular Computing and Knowledge Reduction in Formal Contexts (2009, background): “It serves as a basis for conceptual data analysis and knowledge processing [4], [14], [17], [34], [44], [45], [46], [51].”
• Automatic fuzzy ontology generation for semantic Web (2006, background): “In the Iceberg concept lattice [ 40 ], association rules are typically used for clustering concepts on the lattice.”