Proceedings of the 23rd Brazilian symposium on Databases
Notice bibliographique
Résumé
It is my great pleasure to present the Proceedings of this 23rd Brazilian Symposium on (SBBD), which will be held in Campinas, Brazil, from 13 to 15 October 2008, in conjuction with the 22nd Brazilian Symposium on Software Engineering (SBES). SBBD is the official database event of the Brazilian Computer Society (SBC). It is currently the largest venue in Latin America for presentation and discussion of research results in the database domain. SBBD joins researchers, students and practitioners, from Brazil and abroad, for discussing problems related to the main topics in modern database technologies. Since 1998, SBBD is organized in cooperation with ACM SIGMOD, and its proceedings appear in the SIGMOD/Disc Series. Also for the first time, this edition of SBBD has been organized in two tracks, a Research Track and an Applications and Experiences Track. The Research Track covers all the aspects related to the development of new technologies for solving problems inherent to the database field and the Applications and Experiences Track accepted papers proposing to adapt existing database technologies in some specific context, innovative commercial database implementations as well as reports and analysis of experiences in applying recent research advances in database to practical situations. The Research Track received 49 paper submissions from 7 different countries (Brazil, Argentine, Italy, Portugal, Switzerland, USA and Canada) and the Applications Track, on the other hand, received 35 paper submissions coming from 6 countries (Brazil, Colombia, Chile, France, Italy and Switzerland). Each paper was reviewed by at least 3 PC members together with a group of external reviewers, according to specific evaluation criteria for each track. Based on these reviews, 14 papers among those submitted to the Research Track and 7 papers among those submitted to the Applications Track have been accepted (an acceptance rate of 28% and 20% respectively) resulting in a global acceptance rate of 25% for both tracks. In addition to the technical papers sessions, the Symposium includes the presentation of 3 tutorials and 3 invited talks: Building a Digital Library for the Brazilian Computer Science Community: Challenges and Opportunities by Alberto Laender (DCC/ UFMG - Brazil), Databases and the Global Climate Change by Gilberto Camara (National Institute of Space Research - Brazil) and Complex Analysis Tasks for Multidimensional Data by Nikos Mamoulis (University of Hong Kong). In parallel, the SBBD hosts the Database Thesis Forum (WTDBD) that allows PhD and MSc students to present and discuss their ongoing research, the Demo Session which aims at presenting software tools developed at Brazilian universities and a Poster Session in its second edition. As in past years since 1998, SBBD 2008 will distinguish the best paper on the symposium with the Jose Mauro de Castilho Award. The best selected papers as well as the award winner will be announced at the SBBD/SBES Official Ceremony. Besides this, the authors of the SBBD's best papers will be invited to submit extended and revised versions of their papers to a special issue of Elsevier Information Sciences, a highly prestigious international journal in our field.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,011 | 0,007 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,108 | 0,064 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».