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Private attribute inference from Facebook’s public text metadata: a case study of Korean users

Choi, Daeseon; Lee, Younho; Kim, Seokhyun; Kang, Pilsung - In: Industrial Management & Data Systems 117 (2017) 8, pp. 1687-1706

consisting of 32 attributes were collected for 111,123 Korean users. Inferences were made for four private attributes (gender … regression algorithms. Findings Experimental results showed that users’ gender can be inferred very accurately, whereas marital … available information although users are not willing to disclose them. The experimental results showed that gender, age, marital …

Persistent link: https://www.econbiz.de/10014825904

Der Ingenieurberuf: Von der traditionellen Monokultur zu aktuellen gender- und diversityrelevanten Perspektiven und Anforderungen / The engineering profession: From traditional mon...

Ihsen, Susanne - In: Arbeit 22 (2013) 3, pp. 236-248

Abstract Der Ingenieurberuf in Deutschland hat sich bis heute eine stark monokulturell geprägte Fachkultur erhalten. Insbesondere Frauen gelingt nur langsam eine erfolgreiche und nachhaltige Integration. Vielfältige Programme sind daran beteiligt, dies zu ändern. Ihr Erfolg bleibt davon...

Persistent link: https://www.econbiz.de/10014586427

Machine Learning: Definition of Elements and Concepts Dedicated to Bridges

Cauvin, Bertrand; Benning, Pierre - In: International Journal of 3-D Information Modeling (IJ3DIM) 6 (2017) 3, pp. 1-16

A Bridge Data Dictionary contains an exhaustive list of terms used in the field of bridges. These terms are classified in systems in order to avoid any lacks, to identify all the expected object attributes, and to allow machines to understand the associated concepts. The main objectives of a...

Persistent link: https://www.econbiz.de/10012042517

IFC for Infrastructure: New Concepts and Entities for Bridges

Benning, Pierre - In: International Journal of 3-D Information Modeling (IJ3DIM) 6 (2017) 3, pp. 44-56

The industry foundation classes (IFCs) data model is a neutral and open data format defined by an international standard (ISO 16739), which allows the description of a construction as a collection of standard objects. These objects are quite well defined for describing a building, but their use...

Persistent link: https://www.econbiz.de/10012042520

How Social Media Influencers Govern Sentiment Territory

Rohani, Vala Ali; Shayaa, Shahid; Babanejaddehaki, Ghazaleh - In: International Journal of Applied Evolutionary … 8 (2017) 1, pp. 49-60

In present research, the authors examined how social media influencers affect the overall sentiment of a topic. To this end, they utilized supervised machine learning approach to develop SentiRobo for measuring the sentiment score of social media content. In the next stage, they studied social...

Persistent link: https://www.econbiz.de/10012042711

SiRCub, A Novel Approach to Recognize Agricultural Crops Using Supervised Classification

Tomàs, Jordi Creus; Faria, Fabio Augusto; Esquerdo, … - In: International Journal of Agricultural and Environmental … 8 (2017) 4, pp. 20-36

This paper presents a new approach to deal with agricultural crop recognition using SVM (Support Vector Machine), applied to time series of NDVI images. The presented method can be divided into two steps. First, the Timesat software package is used to extract a set of crop features from the NDVI...

Persistent link: https://www.econbiz.de/10012042779

Optimisation of Engineering Systems With the Bees Algorithm

Pham, Duc T; Baronti, Luca; Zhang, Biao; Castellani, Marco - In: International Journal of Artificial Life Research (IJALR) 8 (2018) 1, pp. 1-15

This article describes the Bees Algorithm in standard formulation and presents two applications to real-world continuous optimisation engineering problems. In the first case, the Bees Algorithm is employed to train three artificial neural networks (ANNs) to model the inverse kinematics of the...

Persistent link: https://www.econbiz.de/10012042920

Autistic Language Processing by Patterns Detection

De Luise, Daniela Lopez; Saad, Ben Raul; Pescio, Pablo D; … - In: International Journal of Artificial Life Research (IJALR) 8 (2018) 1, pp. 36-61

The main goal of this article is to present an approach that allows the automatic management of autistic communication patterns by processing audio and video from the therapy session of individuals suffering autistic spectrum disorders (ASD). Such patients usually have social and communication...

Persistent link: https://www.econbiz.de/10012042922

Diagnosis Rule Extraction from Patient Data for Chronic Kidney Disease Using Machine Learning

Serpen, Alexander Arman - In: International Journal of Biomedical and Clinical … 5 (2016) 2, pp. 64-72

This research study employed a machine learning algorithm on actual patient data to extract decision making rules that can be used to diagnose chronic kidney disease. The patient data set entails a number of health-related attributes or indicators and contains 250 patients positive for chronic...

Persistent link: https://www.econbiz.de/10012043224

A Survey on Prediction Using Big Data Analytics

Supriya, M.; Deepa, A.J. - In: International Journal of Big Data and Analytics in … 2 (2017) 1, pp. 1-15

This article describes how nowadays, the growth of big data in bio-medical and healthcare community services is increasing rapidly. The early detection of diseases and patient care are analyzed with the help of accurate analysis of medical data includes diagnosed patients' details. The analysis...

Persistent link: https://www.econbiz.de/10012043247

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