Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Karima Amrouche"'
1
A maximum diversity-based path sparsification for geometric graph matching
Autor: Karima Amrouche, Abd Errahmane Kiouche, Hamida Seba
Publikováno v: Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2021, 152, pp.107-114. ⟨10.1016/j.patrec.2021.09.019⟩
This paper presents an effective dissimilarity measure for geometric graphs representing shapes. The proposed dissimilarity measure is a distance that combines a sparsification of the geometric graph based on the maximum diversity problem and a new n
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c506558fd6470e7fc3507d0ae34f9e61
https://doi.org/10.1016/j.patrec.2021.09.019
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2
Détection d'anomalies dans les flux de graphes et attaques d'empoisonnement
Autor: Fatma Zohra Khaoula Saadi, Abd Errahmane Kiouche, Karima Amrouche, Hamida Seba, Mohamed-Lamine MESSAI
Publikováno v: HAL
Le problème de détection d'anomalies dans les flux de graphes se pose dans de nombreuses applications comme la cyber-sécurité et la finance. Plusieurs méthodes sont proposées dans la littérature pour répondre à cette problématique. Cependan
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::be3c6132dabfdc6371715dc8863f666b
https://hal.science/hal-03701393
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3
A simple graph embedding for anomaly detection in a stream of heterogeneous labeled graphs
Autor: Sofiane Lagraa, Hamida Seba, Karima Amrouche, Abd Errahmane Kiouche
Publikováno v: Pattern Recognition
Pattern Recognition, Elsevier, 2021, pp.107746. ⟨10.1016/j.patcog.2020.107746⟩
International audience; In this work, we propose a new approach to detect anomalous graphs in a stream of directed and labeled heterogeneous edges. The stream consists of a sequence of edges derived from different graphs. Each of these dynamic graphs
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ee462175401740d00aeca0c50c2e917
https://hal.archives-ouvertes.fr/hal-02993787/document
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5
Enhancing Information Retrieval Through Concept-Based Language Modeling and Semantic Smoothing
Autor: Mohand Boughanem, Lynda Said L'Hadj, Karima Amrouche
Traditionally, many information retrieval models assume that terms occur in documents independently. Although these models have already shown good performance, the word independency assumption seems to be unrealistic from a natural language point of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dd5bcc708613e1900d4e80ddbd99e5a
https://oatao.univ-toulouse.fr/22015/
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6
Adaptation of language model of Information Retrieval for empty answers Problem in databases
Autor: Abdelhamid Chellal, Karima Amrouche
Publikováno v: Proceedings of 12th International Symposium on Programming and Systems
12th International Symposium on Programming and Systems (ISPS 2015)
12th International Symposium on Programming and Systems (ISPS 2015), Apr 2015, Alger, Algeria. pp. 142-148
International audience; Information over the web is increasingly retrieved from relational databases in which the query language is based on exact matching, data fulfil completely the query or not. The results returned to the user contain only tuples
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81c20b51878c5b61f54fb9f8d3969bc8
https://hal.archives-ouvertes.fr/hal-01375393/document
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7
Adaptation du modèle de langue pour le tri des réponses dans les BD
Autor: Abdelhamid Chellal, Mohand Boughanem, Karima Amrouche
Publikováno v: Conférence francophone en Recherche d'Information et Applications (CORIA 2015)
Conférence francophone en Recherche d'Information et Applications (CORIA 2015), Mar 2015, Paris, France. pp.487--502
HAL
International audience; L'information sur le web est de plus en plus extraite depuis des bases de données (BD) où les langages d'interrogation sont basés sur une recherche exacte. L'utilisateur se trouve confronté au problème de réponses nombre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66172d6f240ad1d9fc94636529143d39
https://hal.archives-ouvertes.fr/hal-03190227/file/2015_CORIA_CHH_MB.pdf
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8
Réduction de l'espace de recherche par les techniques d'élagage
Autor: Karima Amrouche
Publikováno v: Ingénierie des systèmes d'information. 11:81-97
This paper tackles the problem of scaling in Information Retrieval applying the research space reduction approach using the pruning methods. Within this framework, a synthesis on the existing methods is presented, followed by a proposition of an expe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ef073fa3802cf98cf167465d2d966ad
https://doi.org/10.3166/isi.11.4.81-97
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9
Leveraging Concepts and Semantic Relationships for Language Model Based Document Retrieval
Autor: Mohand Boughanem, Lynda Said L'Hadj, Karima Amrouche
Publikováno v: Model and Data Engineering ISBN: 9783319115863
MEDI
During the last decades, many language models approaches have been proposed to alleviate the assumption of single term independency in documents. This assumption leads to two known problems in information retrieval, namely polysemy and synonymy. In t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adc115058b751a12cdb31fddf6bba6d4
https://doi.org/10.1007/978-3-319-11587-0_11
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10
Nodes coupling in a Bayesian network for the automatic classification of XML documents
Autor: Karima Amrouche, Yassine Ait Ali Yahia
Publikováno v: 2010 International Conference on Machine and Web Intelligence.
The document classification is one of the classical task of information retrieval and it has involved numerous studies. In this paper, we are presenting a learning model for XML document classification based on Bayesian networks. This latter is a pro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::637339706bab259d52f555fc009048d5
https://doi.org/10.1109/icmwi.2010.5647906
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