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Titlebook: Databases in Telecommunications II; VLDB 2001 Internatio Willem Jonker Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001 D

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樓主: VEER
41#
發(fā)表于 2025-3-28 17:53:30 | 只看該作者
?zlem Alada? Bayrak,Kadir Kaan G?ncüof cross-network calls. In this document we describe a Pan-European project that attempts to solve the addressing problem in convergent networks using a universal, dialable number. An individual can use the number for roaming across network devices, and geographical locations.
42#
發(fā)表于 2025-3-28 21:09:15 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263557.jpg
43#
發(fā)表于 2025-3-29 01:21:05 | 只看該作者
https://doi.org/10.1007/3-540-45432-2Data Engineering; Data Mining; Data Warehouses; Internet Services; Mobile Communications; Network Managem
44#
發(fā)表于 2025-3-29 03:04:06 | 只看該作者
45#
發(fā)表于 2025-3-29 07:24:23 | 只看該作者
Kassa Woldesenbet Beta,Olapeju OgunmokunFrom the viewpoint of information storage, the history of telecommunications can be divided into three epochs. The first epoch ended in 1993, take or give one or two years; the second epoch is ending now in 2001. What are then the characteristics of these epochs and why are the awareness of this evolution so important?
46#
發(fā)表于 2025-3-29 13:35:33 | 只看該作者
47#
發(fā)表于 2025-3-29 15:47:50 | 只看該作者
Data Warehouse Population Platform,and integration with other data. Moreover, the input data must be transformed and translated into a format more suitable for analytical purposes. This paper presents a generalised platform for population of data warehouses named . (DWPP), a set of modules whose aim is to resolve typical aspects aris
48#
發(fā)表于 2025-3-29 23:37:01 | 只看該作者
49#
發(fā)表于 2025-3-30 03:41:25 | 只看該作者
Mining Sequential Alarm Patterns in a Telecommunication Database,edge discovered from alarm data can be used in finding problems in networks and possibly in predicting severe faults. In this paper, we devise a solution procedure for mining sequential alarm patterns from the alarm data of a GSM system. First, by observing the features of the alarm data, we develop
50#
發(fā)表于 2025-3-30 07:25:45 | 只看該作者
Generalized MD-Joins: Evaluation and Reduction to SQL,e huge amounts of data that would be beneficial to analyze using OLAP technology. Recently, Chatziantoniou et al. [.] presented the MD-join, a relational operator that provides a clean separation between group definitions and aggregate computations, and allows to succinctly express OLAP queries. In
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