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Minyar Sassi Hidri
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2020 – today
- 2024
- [j26]Adel Hidri, Rania Mkhinini Gahar
, Minyar Sassi Hidri:
What factors distinguish overlapping Data job postings? Towards ML-based models for job category's factors prediction. Intell. Decis. Technol. 18(3): 2161-2176 (2024) - [c29]Rania Mkhinini Gahar
STARM: STreaming Association Rules Mining in High-Dimensional Data. AINA (2) 2024: 136-146 - [c28]Minyar Sassi Hidri
Multistep Time Series Forecasting of Energy Consumption Based on Stacked Deep LSTM Network Architecture. ICCCI (CCIS Volume 1) 2024: 132-143 - [i16]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri:
Open Research Issues and Tools for Visualization and Big Data Analytics. CoRR abs/2404.12505 (2024) - [i15]Minyar Sassi Hidri:
Learning-based models for building user profiles for personalized information access. CoRR abs/2405.15791 (2024) - 2023
- [i14]Rania Mkhinini Gahar
Let's Predict Who Will Move to a New Job. CoRR abs/2309.08333 (2023) - [i13]Rania Mkhinini Gahar
Towards Big Data Modeling and Management Systems: From DBMS to BDMS. CoRR abs/2309.08362 (2023) - 2022
- [j25]Suleiman Ali Alsaif
NLP-Based Bi-Directional Recommendation System: Towards Recommending Jobs to Job Seekers and Resumes to Recruiters. Big Data Cogn. Comput. 6(4): 147 (2022) - [j24]Suleiman Ali Alsaif
Learning-Based Matched Representation System for Job Recommendation. Comput. 11(11): 161 (2022) - [j23]Imen Ferjani, Minyar Sassi Hidri, Ali Frihida:
SiNoptiC: swarm intelligence optimisation of convolutional neural network architectures for text classification. Int. J. Comput. Appl. Technol. 68(1): 82-100 (2022) - [j22]Suleiman Ali Alsaif, Adel Hidri, Minyar Sassi Hidri:
Stacking-based modelling for improved over-indebtedness predictions. Int. J. Comput. Appl. Technol. 69(3): 273-281 (2022) - [j21]Minyar Sassi Hidri, Suleiman Ali Alsaif, Adel Hidri:
Performance analysis of machine learning algorithms on networks intrusion detection. Int. J. Comput. Appl. Technol. 70(3/4): 285-295 (2022) - 2021
- [j20]Suleiman Ali Alsaif
Towards Inferring Influential Facebook Users. Comput. 10(5): 62 (2021) - [c27]Imen Ferjani
Multi-GPU-based Convolutional Neural Networks Training for Text Classification. IntelliSys (1) 2021: 72-84 - 2020
- [j19]Adel Hidri
Discovery of Frequent Patterns of Episodes Within a Time Window for Alarm Management Systems. IEEE Access 8: 11061-11073 (2020) - [j18]Mohamed Ammar, Adel Hidri
Time-sensitive clustering evolving textual data streams. Int. J. Comput. Appl. Technol. 63(1/2): 25-40 (2020)
2010 – 2019
- 2019
- [j17]Rania Mkhinini Gahar
A Distributed Approach for High-Dimensionality Heterogeneous Data Reduction. IEEE Access 7: 151006-151022 (2019) - [j16]Rahma Souli-Jbali, Minyar Sassi Hidri
Dynamic-Based Clustering for Replica Placement in Data Grids. Int. J. Serv. Sci. Manag. Eng. Technol. 10(4): 58-80 (2019) - [j15]Rahma Souli-Jbali, Minyar Sassi Hidri
Impact of replica placement-based clustering on fault tolerance in grid computing. Int. J. Web Eng. Technol. 14(2): 151-177 (2019) - [c26]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri
Vers une approche heuristique distribuée à base d'ontologie pour la fouille des règles d'association dans les données massives. EGC 2019: 377-378 - [c25]Eman Ferjani, Adel Hidri
MapReduce-Based Convolutional Neural Network for Text Categorization. ICCCI (2) 2019: 155-166 - [i12]Ines Benali-Sougui, Minyar Sassi Hidri
Towards a New Extracting and Querying Approach of Fuzzy Summaries. CoRR abs/1904.12344 (2019) - 2018
- [j14]Minyar Sassi Hidri
Speeding up the large-scale consensus fuzzy clustering for handling Big Data. Fuzzy Sets Syst. 348: 50-74 (2018) - [c24]Rania Mkhinini Gahar
An Ontology-driven MapReduce Framework for Association Rules Mining in Massive Data. KES 2018: 224-233 - 2017
- [j13]Mohamed Ali Zoghlami, Minyar Sassi Hidri
Consensus-Driven Cluster Analysis: Top-Down and Bottom-Up Based Split-and-Merge Classifiers. Int. J. Artif. Intell. Tools 26(4): 1750018:1-1750018:26 (2017) - [c23]Rania Mkhinini Gahar
ParallelCharMax: An Effective Maximal Frequent Itemset Mining Algorithm Based on MapReduce Framework. AICCSA 2017: 571-578 - [i11]Mohamed Ali Zoghlami, Olfa Arfaoui, Minyar Sassi Hidri, Rahma Ben Ayed:
Classification non supervisée des données hétérogènes à large échelle. CoRR abs/1707.00297 (2017) - [i10]Rania Mkhinini Gahar, Olfa Arfaoui
Dimensionality reduction with missing values imputation. CoRR abs/1707.00351 (2017) - 2016
- [j12]Ines Benali-Sougui, Minyar Sassi Hidri
No-FSQL: A Graph-based Fuzzy NoSQL Querying Model. Int. J. Fuzzy Syst. Appl. 5(2): 54-63 (2016) - [c22]Mohamed Ali Zoghlami, Minyar Sassi Hidri
Sampling-based consensus fuzzy clustering on Big Data. FUZZ-IEEE 2016: 1501-1508 - [c21]Sonia Alouane-Ksouri, Minyar Sassi Hidri
Hybrid computing document similarity in large-scale environment. ICNC-FSKD 2016: 2159-2164 - [c20]Olfa Arfaoui
Ontology-based query refinement for XML information retrieval. WIMS 2016: 35:1-35:4 - 2015
- [j11]Sonia Alouane-Ksouri, Minyar Sassi Hidri
Fuzzy Learning of Co-Similarities from Large-Scale Documents. Int. J. Fuzzy Syst. Appl. 4(4): 70-86 (2015) - [j10]Rahma Souli-Jbali, Minyar Sassi Hidri:
A cloud-based optimal fuzzy clustering of distributed data. Int. J. Intell. Eng. Informatics 3(1): 42-56 (2015) - [j9]Sonia Alouane-Ksouri, Minyar Sassi Hidri
Hybrid Segmentation Prototype for Arabic Text-Based Documents: Towards Plagiarism Detection. Int. J. Serv. Sci. Manag. Eng. Technol. 6(1): 63-74 (2015) - [c19]Rahma Souli-Jbali, Minyar Sassi Hidri
Dynamic Data Replication-Driven Model in Data Grids. COMPSAC Workshops 2015: 393-397 - [c18]Minyar Sassi Hidri
2-Maximum spanning fuzzy values-based splitting: an iterative clustering algorithm. FUZZ-IEEE 2015: 1-6 - [c17]Mohamed Ali Zoghlami, Minyar Sassi Hidri
A merging-based consensus-driven fuzzy clustering of distributed data. FUZZ-IEEE 2015: 1-6 - [i9]Olfa Arfaoui, Minyar Sassi Hidri:
Mining Semi-structured Data. CoRR abs/1504.04031 (2015) - 2014
- [j8]Minyar Sassi Hidri
Grid-Based Fuzzy Processing for Parallel Learning the Document Similarities. Int. J. Serv. Sci. Manag. Eng. Technol. 5(1): 66-83 (2014) - [j7]Ines Benali-Sougui, Minyar Sassi Hidri
From User Requirements to Querying of Fuzzy Summaries. Int. J. Serv. Sci. Manag. Eng. Technol. 5(1): 84-102 (2014) - [c16]Sonia Alouane-Ksouri, Minyar Sassi Hidri
Text Retrieval Based on Dyadic Conceptual Projection. DEXA Workshops 2014: 198-202 - [c15]Sonia Alouane-Ksouri, Minyar Sassi Hidri
A tripartite graph-based fuzzy co-similarities for document retrieval. FSKD 2014: 575-580 - [i8]Ines Benali-Sougui, Minyar Sassi Hidri, Amel Grissa Touzi:
Flexible SQLf query based on fuzzy linguistic summaries. CoRR abs/1401.0494 (2014) - 2013
- [j6]Sonia Alouane-Ksouri, Minyar Sassi Hidri, Kamel Barkaoui:
Partitioned-based Fuzzy Clustering to Learn Documents' Triadic Similarity. Int. J. Recent Contributions Eng. Sci. IT 1(1): 5-12 (2013) - [c14]Sonia Alouane-Ksouri, Minyar Sassi Hidri
A Parallel Comparator of Documents. DEXA Workshops 2013: 48-52 - [c13]Mohamed Charouel, Minyar Sassi Hidri, Mohamed Ali Zoghlami:
Vers un cadre évolutif de classification non supervisée. EGC 2013: 49-54 - [c12]Olfa Arfaoui
Querying Compressed XML Data. PAKDD Workshops 2013: 487-498 - [i7]Hanene Rezgui, Minyar Sassi Hidri:
Modèle flou d'expression des préférences basé sur les CP-Nets. CoRR abs/1304.2418 (2013) - [i6]Minyar Sassi Hidri, Soukaina Ben Bdira:
Traitement approximatif des requêtes flexibles avec groupement d'attributs et jointure. CoRR abs/1304.7285 (2013) - [i5]Ines Ben Ali Sougui, Minyar Sassi Hidri, Amel Grissa Touzi:
About Summarization in Large Fuzzy Databases. CoRR abs/1310.7829 (2013) - [i4]Olfa Arfaoui, Minyar Sassi Hidri:
Flexible queries in XML native databases. CoRR abs/1312.1860 (2013) - [i3]Sonia Alouane-Ksouri, Minyar Sassi Hidri, Kamel Barkaoui:
Parallel architectures for fuzzy triadic similarity learning. CoRR abs/1312.6273 (2013) - 2012
- [j5]Minyar Sassi Hidri, Amel Grissa Touzi:
An Information Retrieval Model from World Wide Web based on Formal Concept Analysis. Int. Arab. J. e Technol. 2(4): 187-196 (2012) - [j4]Minyar Sassi
Approximate Query Processing for Database Flexible Querying with Aggregates. Trans. Large Scale Data Knowl. Centered Syst. 5: 1-27 (2012) - [c11]Ines Ben Ali Sougui, Minyar Sassi Hidri
A quantitative algorithm for extracting generic basis of fuzzy association rules. FSKD 2012: 23-27 - [c10]Dhekra Ayadi, Olfa Arfaoui
Using Conceptual Scaling for Indexing XML Native Databases. WAIM Workshops 2012: 309-318 - [c9]Ahmed Jedidi
Indexing Compressed XML Documents. WAIM Workshops 2012: 319-328 - [i2]Oussama Tlili, Minyar Sassi, Habib Ounelli:
Intelligent Database Flexible Querying System by Approximate Query Processing. CoRR abs/1204.3223 (2012) - [i1]Minyar Sassi:
Towards Fuzzy-Hard Clustering Mapping Processes. CoRR abs/1204.3224 (2012) - 2011
- [c8]Olfa Arfaoui
Fuzzy clustering of large-scale data sets using Principal Component Analysis. FUZZ-IEEE 2011: 683-690 - [c7]Amel Grissa Touzi, Aicha Thabet, Minyar Sassi
Efficient Reduction of the Number of Associations Rules Using Fuzzy Clustering on the Data. ICSI (2) 2011: 191-199 - 2010
- [j3]Minyar Sassi
About Database Summarization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(2): 133-151 (2010)
2000 – 2009
- 2009
- [j2]Amel Grissa Touzi, Minyar Sassi, Habib Ounelli:
An Innovative Contribution to Flexible Query Through the Fusion of Conceptual Clustering, Fuzzy Logic, and Formal Concept Analysis. Int. J. Comput. Their Appl. 16(4): 220-233 (2009) - [c6]Minyar Sassi
Clustering large data sets based on data compression technique and weighted quality measures. FUZZ-IEEE 2009: 396-402 - 2008
- [j1]Minyar Sassi, Amel Grissa Touzi, Habib Ounelli:
Databases Flexible Interrogation Approach Based on Ordered Lattice Theory Extension. Int. Arab J. Inf. Technol. 5(4): 426-434 (2008) - [c5]Amel Grissa Touzi, Minyar Sassi, Habib Ounelli:
Using Formal Concept Analysis for Flexible Querying Optimization. CATA 2008: 39-46 - [c4]Minyar Sassi
A fuzzy linguistic approach to database summarization. FUZZ-IEEE 2008: 771-778 - 2007
- [c3]Minyar Sassi
Clustering Quality Evaluation Based on Fuzzy FCA. DEXA 2007: 639-649 - [c2]Minyar Sassi
Interpreting Fuzzy Clustering Results Based on Fuzzy Formal Concept Analysis. FUZZ-IEEE 2007: 1-6 - 2006
- [c1]Minyar Sassi, Amel Grissa Touzi, Habib Ounelli:
Using Gaussians Functions to Determine Representative Clustering Prototypes. DEXA Workshops 2006: 435-439
Coauthor Index
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last updated on 2024-11-07 21:29 CET by the dblp team
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