Výsledky vyhledávání - "da Silva, Alzennyr"

Report

Autor: Da Silva, Alzennyr, Lechevallier, Yves, Rossi, Fabrice, De Carvahlo, Francisco De A. T.

Publikováno v: Innovative Applications in Data Mining (2009) 71-82

Most classification methods are based on the assumption that data conforms to a stationary distribution. The machine learning domain currently suffers from a lack of classification techniques that are able to detect the occurrence of a change in the

Externí odkaz: http://arxiv.org/abs/1201.0963

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Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain

Autor: Chelcea, Sergiu Theodor, Da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte

Publikováno v: Dans Proceedings of the ECML/PKDD2005 Discovery Challenge, A Collaborative Effort in Knowledge Discovery from Databases

This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First, after presenting the clickstream dataset, we show h

Externí odkaz: http://arxiv.org/abs/cs/0511106

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Sequential pattern mining for customer relationship management analysis

Autor: Gashteovski, Kiril, Guyet, Thomas, Quiniou, René, Da Silva, Alzennyr, Masson, Véronique

Publikováno v: Atelier GAST@EGC2015
Atelier GAST@EGC2015, Jan 2015, Luxembourg, Luxembourg

National audience; Customer Relationship Management (CRM) is a set of tools for managing a company’s interactions with its customers. Extracting the frequent interaction behaviors from the CRM database is useful to better understand the customers h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3f4d34fcd405fb0734a266703a4cf36f
https://inria.hal.science/hal-01097466

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Dissertation/ Thesis

Analyse des données évolutives : application aux données d'usage du Web

Autor: Gomes Da Silva, Alzennyr

Le nombre d'accès aux pages Web ne cesse de croître. Le Web est devenu l'une des plates-formes les plus répandues pour la diffusion et la recherche d'information. Par conséquence, beaucoup d'opérateurs de sites Web sont incités à analyser l'us

Externí odkaz: http://tel.archives-ouvertes.fr/tel-00445501
http://tel.archives-ouvertes.fr/docs/00/44/55/01/PDF/these.pdf
http://tel.archives-ouvertes.fr/docs/00/44/55/01/ANNEX/soutenance_GOMES_DA_SILVA_version2.pdf

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Analysis of evolving data: application to the Web usage data

Autor: Gomes Da Silva, Alzennyr

Publikováno v: Informatique [cs]. Université Paris Dauphine-Paris IX, 2009. Français

Nowadays, more and more organizations are becoming reliant on the Internet. The Web has become one of the most widespread platforms for information change and retrieval. The growing number of traces left behind user transactions (e.g. : customer purc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::8db2b12f8d8d1c0e94ac975ffb83b62d
https://tel.archives-ouvertes.fr/tel-00445501

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Pre-Processing and Clustering Complex Data in E-Commerce Domain

Autor: Chelcea, Sergiu, da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte

Publikováno v: Proceedings of the First International Workshop on Mining Complex Data 2005 (IEEE MCD'2005), held in conjunction with the Fifth IEEE International Conference on Data Mining (ICDM'05)
Proceedings of the First International Workshop on Mining Complex Data 2005 (IEEE MCD'2005), held in conjunction with the Fifth IEEE International Conference on Data Mining (ICDM'05), Nov 2005, Houston, Texas

This paper presents our preprocessing and clustering method on a clickstream dataset issued from e-commerce domain. The main contributions of this article are double. First, after presenting the clickstream dataset, we show how we build a rich data w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9afe998d8aeed267df00c12c3ecc67fd
https://hal.inria.fr/inria-00000881

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Dissertation/ Thesis

Autor: Cléa Gomes da Silva, Alzennyr

Publikováno v: Repositório Institucional da UFPEUniversidade Federal de PernambucoUFPE.

Made available in DSpace on 2014-06-12T16:01:14Z (GMT). No. of bitstreams: 2 arquivo7274_1.pdf: 1733810 bytes, checksum: 2d9eb7a4489382e5afbf1790810474a0 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue d

Externí odkaz: https://repositorio.ufpe.br/handle/123456789/2797