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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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發(fā)表于 2025-3-25 03:51:38 | 只看該作者
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發(fā)表于 2025-3-25 09:46:04 | 只看該作者
Conference proceedings 2001rch areas in database research and to establish a strong connection between the telecom and database research communities. As I wrote in the preface of those proceedings, data management in telecommuni- tions is an interesting area of research given the fact that both service management and service
23#
發(fā)表于 2025-3-25 15:02:18 | 只看該作者
0302-9743 core research areas in database research and to establish a strong connection between the telecom and database research communities. As I wrote in the preface of those proceedings, data management in telecommuni- tions is an interesting area of research given the fact that both service management an
24#
發(fā)表于 2025-3-25 16:41:22 | 只看該作者
Sustainability Management in Hungaryapabilities of such an off-the-shelf solution. First a description of the experiment case and experiment set up is given. Next the results of the experiments are described. The paper ends with a conclusion on the manageability, robustness and scalability of the NT Cluster architecture for very large CDR stores.
25#
發(fā)表于 2025-3-25 20:47:21 | 只看該作者
26#
發(fā)表于 2025-3-26 03:52:00 | 只看該作者
27#
發(fā)表于 2025-3-26 07:44:37 | 只看該作者
Network Convergence Using Universal Numbers: The UPT Project,of 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.
28#
發(fā)表于 2025-3-26 11:12:44 | 只看該作者
29#
發(fā)表于 2025-3-26 15:57:53 | 只看該作者
30#
發(fā)表于 2025-3-26 20:33:00 | 只看該作者
J?rg E. U. Schmidt,Claus-Heinrich Daubedge 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
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