2022 9th Swiss Conference on Data Science (SDS) : Lucerne, Switzerland, 22-23 June 2022 : proceedings / Swiss Conference on Data Science.

Format:

Book

Conference/Event

Conference Name:

Swiss Conference on Data Science, author.

Language:

English

Subjects (All):

Data mining--Congresses.

Data mining.

Physical Description:

1 online resource (73 pages) : illustrations

Other Title:

2022 9th Swiss Conference on Data Science

Place of Publication:

Piscataway, NJ : IEEE, 2022.

Summary:

Data Science stands at the leading edge of new scientific discoveries and technology and is decisive and omnipresent in our everyday lives The 9th Swiss Conference on Data Science SDS2022 brings together researchers, developers, influencers, decision makers, and innovators with expertise in data science The goal of SDS2022 is to foster the exchange of novel ideas for data products, digital health and robust and trustworthy machine learning.

Contents:

Message from the General Chairs

Conference Organization

Sponsors and Supporters

Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform

Data Collection and Exploratory Analysis for Cyber Threat Intelligence Machine Learning Processes

Exploring Owner-Based Brand Personality on Facebook and LinkedIn with

Natural-Language-Processing (NLP)

Group Fairness in Prediction-Based Decision Making: From Moral Assessment to

Implementation

MT4UML: Metamorphic Testing for Unsupervised Machine Learning

On the Value of Data: Multi-Objective Maximization of Value Creation in Data-Driven Industrial Services

Scaling Up Deep Learning Based Predictive Maintenance for Commercial Machine Fleets: a Case Study

Smart Meter Modbus RS-485 Spoofing Attack Detection by LSTM Deep Learning Approach

Unsupervised Network Anomaly Detection by Learning on 2D Data Representations

Using Acoustic Signal to Predict Grain Size of Bedload Particle

Assessing Guest Nationality Composition from Hotel Reviews

Minimal Hand Pose Estimation for Touchable Projector-Depth Systems

Tabular Data Insights and Synthesis with the AutoTable Approach

Vision Transformers Show Improved Robustness in High-Content Image Analysis

Author Index.

Notes:

Description based on publisher supplied metadata and other sources.

Includes index.

ISBN:

9781665468473

1665468475