丰富 发表于 2025-3-25 07:15:02
Robert D. Sweeney draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring. Gone are the days when you need be caught out by shi不可接触 发表于 2025-3-25 10:02:44
Domenico Jervolinovehicles form a high speed topological flying network. As due to innovations in various fields of study, security is very much important. Therefore, UAV-networks need cyber secure flying air space for communication. Due to high mobility in FANETs DoS/DDoS security attacks can be deployed by intruderCRANK 发表于 2025-3-25 12:52:38
Patricio Peñalver Gómezbuilding operating costs, especially in Smart Universities. Smart University campuses are the subject of current research, movements and advances in the nation. Therefore, transforming the university into a smart campus can provide several benefits to students, faculty, and staff by enhancing their夹克怕包裹 发表于 2025-3-25 19:50:32
Pierre Millionbuilding operating costs, especially in Smart Universities. Smart University campuses are the subject of current research, movements and advances in the nation. Therefore, transforming the university into a smart campus can provide several benefits to students, faculty, and staff by enhancing their哭得清醒了 发表于 2025-3-26 00:02:28
Vicent Martínez Guzman communities of their own interest and share a variety of personal information in the form of text, video, image or audio. It has been extended gradually in various other applications such as facebook, whatsapp, twitter etc. Some of these applications were not originally intended to collect informat弓箭 发表于 2025-3-26 03:55:48
Urbano Ferrer Santosltaneously. As various real world applications emerge continuously in the big data field, more attention has been paid to streaming data forms recently, i.e., instance, feature and label streams. In this paper, we focus on multi-label online streaming feature selection (OSFS) problem, whose features卡死偷电 发表于 2025-3-26 08:12:33
Hipólito Rodríguez Piñeroe curse of dimensionality, reducing the features in the data to a smaller set is often of great utility. Unsupervised feature selection aims to reduce the number of features, often using feature importance scores to quantify the relevancy of single features to the task at hand. These scores can be b凹槽 发表于 2025-3-26 11:53:00
http://reply.papertrans.cn/44/4301/430031/430031_28.pngCRAB 发表于 2025-3-26 12:58:37
Juan Carlos Couceiro Buenos have been propounded, and some are deployed in commercial DBMSs. The central role of MVs in optimizing workloads has recently prodded researchers to revisit the problems associated with them (selection, maintenance, adaptation) by proposing AI techniques to tackle those issues. When deeply analyzi残废的火焰 发表于 2025-3-26 19:32:45
n a given domain, e.g., order-to-cash or procure-to-pay process in reseller or procurement domain. These adjustments produce some variations between these process models that mainly should be identical but may differ slightly. Existing approaches related to data warehouse solutions suffer from adequ