A5003036813- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Rough Sets and Fuzzy Logic
- Advanced Database Systems and Queries
- Semantic Web and Ontologies
- Time Series Analysis and Forecasting
- Data Quality and Management
- Fuzzy Logic and Control Systems
- Graph Theory and Algorithms
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Big Data and Business Intelligence
- Algorithms and Data Compression
- Healthcare Systems and Practices
- Web Data Mining and Analysis
- Social Sciences and Governance
- French Urban and Social Studies
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Blockchain Technology Applications and Security
- Scientific Computing and Data Management
- Pregnancy-related medical research
- Advanced Data Storage Technologies
- Recommender Systems and Techniques
- Biomedical Text Mining and Ontologies
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
2016-2025
Université de Montpellier
2015-2024
Centre National de la Recherche Scientifique
2015-2024
Société Française de Santé Publique
2018-2020
Société Française d'Allergologie
2018-2020
Université Libre de Bruxelles
2016-2019
Soongsil University
2019
Santé Publique France
2018
Laboratoire de Chimie des Polymères Organiques
2016
Laboratoire de Mathématiques d'Orsay
2016
Data warehouses and data marts have long been considered as the unique solution for providing end-users with decisional information. More recently, lakes proposed in order to govern swamps. However, no formal definition has literature. Existing works are not complete miss important parts of topic. In particular, they do focus on influence gravity, infrastructure role those solutions course proposing divergent definitions positioning regarding usage interaction existing decision support system.
Multidimensional databases have been designed to provide decision makers with the necessary tools help them understand their data. This framework is different from transactional data as datasets contain huge volumes of historicized and aggregated defined over a set dimensions that can be arranged through multiple levels granularities. Many proposed query navigate granularity. However, automatic are still missing mine this type in order discover regular specific patterns. In article, we...
The human insulin-family genes regulate cell growth, metabolism, and tissue-specific functions. Among these different members, only INSL4 gene shows a predominant placenta-specific expression. Here, we show that the is tightly clustered with three other members of insulin superfamily (RLN1, RLN2, INSL6) within 176-kilobase genomic segment on chromosome region 9p23.3-p24.1. We also report evidence probably insulin-like growth factor to be primate-specific. identified an unexpected endogenous...
The use of malaria rapid diagnostic tests (RDTs) has been widely advocated to improve Plasmodium falciparum diagnosis, especially in settings where quality microscopy is not available. RDTs based on the detection histidine-rich protein 2 (HRP-2) can remain positive for several weeks after an infection cured, due persistence HRP-2 antigens. As a result, test specificity may vary between age groups with different prevalence P. infection. A community-based cross-sectional survey, carried out...
Unexpected effect of structure on electronic propeties.
Data aggregation is one of the key features used in databases, especially for Business Intelligence (e.g., ETL, OLAP) and analytics/data mining. When considering SQL to prepare visualize data deeper analyses. However, these operations are often impossible on very large volumes regarding memory-and-time-consumption. In this paper, we show how NoSQL databases such as MongoDB its key-value stores, thanks native MapReduce algorithm, can provide an efficient framework aggregate data. We basic...
The rapid expansion of blockchain technology has led to increased security challenges, particularly in detecting fraudulent transactions and malicious activities within decentralized networks. Traditional anomaly detection techniques, including rule-based heuristics supervised learning models, struggle adapt the dynamic complex nature transactions. This paper introduces a graph neural network (GNN)-based framework designed improve by leveraging inherent structure transaction proposed...
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are generally considered as bags of words without any order. Although the
Despite the existence of different methods, including data mining techniques, available to be used in recommender systems, such systems still contain numerous limitations. They are a constant need for personalization order make effective suggestions and provide valuable information items available. A way reach is by means an alternative technique called classification based on association, which uses association rules prediction perspective. In this work we propose hybrid methodology...
Graph databases are taking more and importance, especially for social networking. For instance, organizations can implement graph to represent query data such as Person1 is CEO of Organization1. NoSQL (e.g., Neo4j) have been designed deal with data. However, managing history not yet possible in an easy manner while being critical many applications. Tracking changes indeed one the main functionalities (especially Relational BD) should be forsaken DB. queries like "list all people who...
Polypeptide growth factors play an important role in the regulation of human embryonic development. Insulin-like 4 gene (INSL4) is a member insulin family, which includes insulin, IGF-I, IGF-II, relaxin, and INSL3. Using RT-PCR, we previously found abundant INSL4 mRNA placenta. In this study, examined chronology spatial expression sections placenta conceptus by means situ hybridization. Expression IGF-II was studied as positive control. distribution tissue- cell-specific. Indeed, most...
Most real world databases consist of historical and numerical data such as sensor, scientific or even demographic data.In this context, classical algorithms extracting sequential patterns, which are well adapted to the temporal aspect data, do not allow information processing.Therefore pre-processed be transformed into a binary representation, leads loss information.Fuzzy have been proposed process using intervals, particularly fuzzy but none these methods is satisfactory.Therefore paper...
This conference is intended to stimulate discussions on the forefront of research concerned with intelligent approaches transform World Wide Web into a global reasoning and semantics-driven computing machine.