94 results on '"Maddouri, Mondher"'
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2. An Experimental Survey on Big Data Frameworks
3. Incremental Rule Production: Towards a Uniform Approach for Knowledge Organisation
4. Multiple instance learning for sequence data with across bag dependencies
5. Multiple instance learning for sequence data with across bag dependencies
6. A large-scale and fault-tolerant approach of subgraph mining using density-based partitioning
7. A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction
8. Feature extraction in protein sequences classification : a new stability measure
9. Survey on Formal Concept Analysis Based Supervised Classification Techniques
10. Comparative Evaluation of the Discovered Knowledge
11. An experimental survey on big data frameworks
12. A New Feature Selection Method for Nominal Classifier based on Formal Concept Analysis
13. Density-based data partitioning strategy to approximate large-scale subgraph mining
14. Diversity Analysis on Boosting Nominal Concepts
15. Adaptive Learning of Nominal Concepts for Supervised Classification
16. Boosting Formal Concepts to Discover Classification Rules
17. Improving Boosting by Exploiting Former Assumptions
18. On Semantic Properties of Interestingness Measures for Extracting Rules from Data
19. Biological Sequences Encoding for Supervised Classification
20. DFC
21. Catégorisation des méthodes de classification fondées sur l’Analyse de Concepts Formels
22. A Novel Scalable Clustering Method for Distributed Networks
23. Un algorithme distribué pour le clustering de grands graphes
24. New voting strategies designed for the classification of nucleic sequences
25. Encoding of primary structures of biological macromolecules within a data mining perspective
26. Diversity Analysis on Boosting Nominal Concepts
27. Adaptive Learning of Nominal Concepts for Supervised Classification
28. Boosting Formal Concepts to Discover Classification Rules
29. Efficient Closure Operators for FCA-Based Classification
30. Biological Sequences Encoding for Supervised Classification
31. Multiple instance learning for sequence data with across bag dependencies
32. An experimental survey on big data frameworks (Highlight paper)
33. ABClass : Une approche d'apprentissage multi-instances pour les séquences
34. An Overview of in Silico Methods for the Prediction of Ionizing Radiation Resistance in Bacteria
35. ABClass : Une approche d'apprentissage multi-instances pour les séquences(ABClass: A multiple instance learning approach for sequence data)
36. Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs
37. Protein sequences classification by means of feature extraction with substitution matrices
38. DFC: A Performant Dagging Approach of Classification Based on Formal Concept
39. A multiple instance learning approach for sequence data with across bag dependencies
40. Cost models for distributed pattern mining in the cloud: application to graph patterns
41. Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model
42. Cost Models for Distributed Pattern Mining in the Cloud
43. Etude de stabilité de méthodes d'extraction de motifs à partir des séquences protéiques
44. Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents
45. A Hybrid Approach of Boosting Against Noisy Data
46. Improving Boosting by Exploiting Former Assumptions
47. On Semantic Properties of Interestingness Measures for Extracting Rules from Data
48. Parallel Learning and Classification for Rules based on Formal Concepts
49. Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model
50. Feature extraction in protein sequences classification
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