expire 发表于 2025-3-23 13:34:25

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矛盾心理 发表于 2025-3-23 14:27:54

https://doi.org/10.1007/978-3-319-99127-6In this chapter, we describe the specific characteristics of sensor data and sensor networks. Furthermore, we identify the most promising streaming models, which can be embedded in intelligent sensor platforms and used to mine real-time data for a variety of analytical insights.

extinct 发表于 2025-3-23 22:02:20

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牛的细微差别 发表于 2025-3-23 23:21:09

Sensor Data Surveillance,egy to continuously maintain . trend clusters across a sensor network. The analysis of trend clusters, which are discovered at the consecutive sliding windows, is useful to look for possible changes in the data, as well as to produce forecasts of the future.

ornithology 发表于 2025-3-24 04:20:50

Sensor Networks and Data Streams: Basics,In this chapter, we describe the specific characteristics of sensor data and sensor networks. Furthermore, we identify the most promising streaming models, which can be embedded in intelligent sensor platforms and used to mine real-time data for a variety of analytical insights.

歌曲 发表于 2025-3-24 08:40:11

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人工制品 发表于 2025-3-24 13:33:32

Annalisa Appice,Anna Ciampi,Donato MalerbaIntroduces the trend cluster, a recently defined spatio-temporal pattern, and its use in summarizing, interpolating and identifying anomalies in sensor networks.Illustrates the application of trend cl

教唆 发表于 2025-3-24 16:04:24

SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/d/image/262910.jpg

最初 发表于 2025-3-24 20:13:09

Data Mining Techniques in Sensor Networks978-1-4471-5454-9Series ISSN 2191-5768 Series E-ISSN 2191-5776

jarring 发表于 2025-3-25 01:18:17

https://doi.org/10.1007/978-3-319-99127-6 environmental phenomena that can be detected, monitored, and reacted to. Another important aspect is the real-time data delivery of novel platforms. In this chapter, we describe the specific characteristics of sensor data and sensor networks. Furthermore, we identify the most promising streaming mo
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查看完整版本: Titlebook: Data Mining Techniques in Sensor Networks; Summarization, Inter Annalisa Appice,Anna Ciampi,Donato Malerba Book 2014 The Author(s) 2014 Ano