Notice bibliographique
Résumé
it is our great pleasure to welcome you all to the <em>Fifth ACM International Workshop on Data Engineering for Wireless and Mobile Access (MobiDE 2006)</em>, which is held in conjunction with ACM SIGMOD/PODS 2006. This workshop brings together researchers in databases, networking, and mobile computing with the aim of connecting the data management and mobile computing communities. It provides opportunities for a full day of exciting discussions on the topic of data management in mobile and wireless environments. The workshop serves as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, generate novel ideas, and set new directions for data management for mobile and wireless access.MobiDE 2006 is the fifth in a series of workshops. The previous workshops took place in Seattle, WA, in conjunction with MobiCom 1999; in Santa Barbara, CA, together with SIGMOD/PODS 2001; in San Diego, CA, in conjunction with MobiCom 2003; and in Baltimore, MD, in conjunction with SIGMOD/PODS 2005.The workshop program has been put together with the aim of presenting new and controversial research ideas so as to foster interaction among researchers from around the world. The call for papers attracted 31 submissions from 14 countries: Brazil, Canada, China, Cyprus, France, Germany, Greece, Japan, Korea, Norway, Portugal, Tunis, U.K., and U.S.A. Due in parts to MobiDE now being an established outlet for research results and to the co-location with ACM SIGMOD/PODS, many submissions were of very high quality, making the selection process quite competitive. All submissions were reviewed by at least 3 members of the Program Committee. This was followed by a discussion phase, where the reviewers of each submission had the opportunity to discuss the submission and its reviews. As a result, 10 submissions were accepted as full papers, and 2 submissions that reported on promising works in progress were accepted as short papers. In addition, a very interesting invited talk, "A Data Architecture for Consumer RFID Applications," by Gaetano Borriello from the University of Washington is included in the program. This talk probes into the consumer side of the mobile environment.The program reflects the depth and breadth of the field, with sessions covering important aspects of mobility, location-based processing, and the introduction of sensor technology into the real world. Thus, these proceedings provide an excellent point of reference on the increasingly important area of data engineering for mobile and wireless computing.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».