Titlebook: Husserl’s Legacy in Phenomenological Philosophies; New Approaches to Re Anna-Teresa Tymieniecka Book 1991 Springer Science+Business Media D

豐富

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

不可接觸

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 intruder

CRANK

Patricio Pe?alver 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

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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

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

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

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Hipólito Rodríguez Pi?eroe 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

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CRAB

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

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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