Intelligent Decision Technologies 2017

Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017) – Part II

AvIreneusz Czarnowski,Robert J. Howlett

Häftad, Engelska, 2018

Del 73 i serien Smart Innovation, Systems and Technologies

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Beskrivning

The volume presents a collection of peer-reviewed articles from the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT-17), held in Vilamoura, Algarve, Portugal on 21–23 June 2017.

Produktinformation

Utgivningsdatum:2018-07-29
Mått:155 x 235 x 21 mm
Vikt:569 g
Format:Häftad
Språk:Engelska
Serie:Smart Innovation, Systems and Technologies
Antal sidor:358
Förlag:Springer International Publishing AG
ISBN:9783319866222

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

A Development of Classification Model for Smartphone Addiction Recognition System Based on Smartphone Usage Data.- Complex Object Recognition Based on Multi-shape Invariant Radon Transform.- Genetic Algorithms Based Resampling for the Classification of Unbalanced Datasets.- Analysis of Multiple Classifiers Performance for Discretized Data in Authorship Attribution.- Speaker Identification in Noisy Conditions Using Short Sequences of Speech Frames.- Decision-Controlled Digitization Architecture for Internet of Things and Microservices.- Digital Enterprise Architecture Management in Tourism - State of the Art and Future Directions.- Building Fuzzy Variance Gamma Option Pricing Models With Jump Levy Process.- Evolutionary Regressor Selection in ARIMA Model for Stock Price Time Series Forecasting.- Applying Domain Knowledge for Data Quality Assessment in Dermatology.- A Data Analytics Framework for Business in Small and Medium-Sized Organizations.- Visual Analysis of Eye Movement Data with Fixation Distance Plots.- Which Symbols, Features, and Regions Are Visually Attended in Metro Maps?.- Measurements of Contrast Detection Thresholds for Peripheral Vision Using Non-flashing Stimuli.- Social Stream Clustering to Improve Events Extraction.- A New Social Recommender System Based on Link Prediction Across Heterogeneous Networks.- Social Market: Stock Market and Twitter Correlation.