surmount 发表于 2025-3-26 22:29:55
Online Dominating Set and Coloringf two indexing processes, i.e. of text and video indexing based on the content analysis of their structure units. Several frameworks of automatic detection and categorisation of video shots and scenes reporting the sport events in a given discipline in TV sports news have already been proposed. It hConfound 发表于 2025-3-27 04:43:16
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Hovhannes A. Harutyunyan,Narek Hovhannisyanhas specified inputs and outputs and some functional and non-functional features. In our approach to describe services ontologies are used. It helps us to include some semantics to the services. Process of service discovery is started when user’s request is translated into SLA contract. The problem土产 发表于 2025-3-27 17:29:24
Combinatorial Optimization and Applicationsware, which causes even more dangerous, and significant threats i.e. Botnets. In the EFIPSANS project a new architecture that includes self-* functionalities is introduced. Self-defending functionality, using data mining approach detects and reacts to some of network threats.古文字学 发表于 2025-3-27 21:01:28
Fernanda Couto,Luís Felipe I. Cunhas. These systems provide a many of interesting and useful services to support our day life needs in all areas include biomedical world of our bodies. Every such service need however to provide their results by some kind of interface. Therefore the need of a simple, intuitive and graphically attractiinterlude 发表于 2025-3-27 22:47:07
,On ,- Versus (, + 1)-Leaf Powers,that stores common subsequences of input sequences in the same nodes. The characteristic feature of the CPGrowth algorithm is that it does not require transitional trees at the next recursion levels. Moreover, new sequences can be inserted into the UPC-Tree without rebuilding, which is a considerabl壁画 发表于 2025-3-28 02:17:39
https://doi.org/10.1007/978-3-642-14989-4Norm; Sensor; Service; Usability; cognition; data mining; information system; knowledge; learning; managementOVER 发表于 2025-3-28 09:07:09
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Zhiheng You,Hongwei Du,Ziwei LiangThe chapter provides an overview of essential analyses and comparisons helpful in corporate human resources management based on social network approach. Several ideas, measurements, interpretations and evaluation methods are presented and discussed, in particular group detection, centrality degree, dynamic analysis, social concept networks.