Titlebook: Innovations in Big Data Mining and Embedded Knowledge; Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jai Book 2019 Springer Nature Switze

不给啤

打火石

Designing a Recommender System for Touristic Activities in a Big Data as a Service Platform,ng user perceived values. By integrating a Recommender System on a Big Data platform, we constructed the horizontal infrastructure for managing these services in an application-neutral layer. In this chapter, we revise the design choices followed to implement this service layer, highlighting the dat

多嘴多舌

EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications,bility of an ML technique as the training data increases significantly in size, and the transparency (understandability) of the induced models. To address these issues we describe and analyze a meta-learning paradigm, EML, that combines techniques from evolutionary computation and supervised learnin

侧面左右

Towards Addressing the Limitations of Educational Policy Based on International Large-Scale Assessmways to overcome them. Firstly, an analysis is performed on data from several ILSAs from 1963 to 2015, and correlated with cultural dimensions statistical data for the same countries. Expanding the analysis to several ILSAs for a large timeframe shows differences in success predictors from literatur

完成

What Do Prospective Students Want? An Observational Study of Preferences About Subject of Study in University of Glasgow. In particular, this work analyses the distribution of the preferences across the 109 subjects (e.g., Mechanical Engineering, English Literature, etc.) that have been presented during the Open Day. The results suggest that factors like the graduate prospects (percentage of stu

cunning

费解

Discovering Knowledge Embedded in Bio-medical Databases: Experiences in Food Characterization and istudies, where different knowledge extraction techniques have been exploited. Specifically, we will first report on how machine learning and data mining algorithms can address the problem of food adulteration. Then, we will show how process mining techniques can be adopted to analyze the quality of

accessory

肥料

口味

A Web Application for Characterizing Spontaneous Emotions Using Long EEG Recording Sessions,otions are studied by analyzing the brain activity of a subject, monitored by Electroencephalography (EEG), functional Magnetic Resonance Imaging (fMRI) or functional Near Infrared Spectroscopy (fNIRS), after some external stimulation. This approach could lead to characterization inaccuracies, due t