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Titlebook: Information Systems Architecture and Technology: Proceedings of 36th International Conference on Inf; Adam Grzech,Leszek Borzemski,Zofia W

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樓主: tornado
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發(fā)表于 2025-3-28 15:19:30 | 只看該作者
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發(fā)表于 2025-3-28 20:51:04 | 只看該作者
Distributed Algorithm for Text Documents Clustering Based on k-Means Approached k-means distributed clustering algorithm in two modifications and performed the experiments on the standard text data collections. Experiments were conducted in two testing environments—a distributed computing infrastructure and on a multi-core server.
43#
發(fā)表于 2025-3-29 01:50:11 | 只看該作者
Hardware Implementation of Rainbow Tables Generation for Hash Function Cryptanalysishat proposed method may compete with CPU-based approaches when performance is considered, as well as computational complexity, while maintaining low level of programmable structures’ logic element utilization.
44#
發(fā)表于 2025-3-29 03:49:44 | 只看該作者
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發(fā)表于 2025-3-29 11:13:37 | 只看該作者
Modeling and Optimization of the Production Clusterximization. Authors provide an algorithm for searching production cluster’s steady state. The investigation results of an effect of various parameters on EMPC’s optimal steady state are presented. The problem of optimal control for production clusters is formulated.
46#
發(fā)表于 2025-3-29 13:51:18 | 只看該作者
47#
發(fā)表于 2025-3-29 15:47:20 | 只看該作者
Comparison of Relational, Document and Graph Databases in the Context of the Web Application Develop database was developed. The analysis consists in data models analysis and performance tests. Data models analysis discusses requirements meeting and difficulties of different implementation. Performance tests present results of obtained for five different tasks. Each of analyzed solutions revealed
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發(fā)表于 2025-3-29 20:42:33 | 只看該作者
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發(fā)表于 2025-3-30 02:55:26 | 只看該作者
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發(fā)表于 2025-3-30 07:55:10 | 只看該作者
Distributed Web Server’s Data Performance Processing with Application of Spatial Econometrics Models we focus on spatial-based methods. We propose to use spatial econometrics methods to predict Web server’s performance. Three spatial regression models have been studied: Classical Regression Model (CRM), Spatial Lag Model (SLM) and Spatial Error Model (SEM). We used the real-life dataset obtained i
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