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NexComm 2022 Congress
April 24, 2022 to April 28, 2022 - Barcelona, Spain
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ComputationWorld 2022 Congress
April 24, 2022 to April 28, 2022 - Barcelona, Spain
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InfoSys 2022 Congress
May 22, 2022 to May 26, 2022 - Venice, Italy
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May 22, 2022 to May 26, 2022 - Venice, Italy
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June 26, 2022 to June 30, 2022 - Porto, Portugal
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DigitalWorld 2022 Congress
June 26, 2022 to June 30, 2022 - Porto, Portugal
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NetWare 2022 Congress
October 16, 2022 to October 20, 2022 - Lisbon, Portugal
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SoftNet 2022 Congress
October 16, 2022 to October 20, 2022 - Lisbon, Portugal
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NexTech 2022 Congress
November 13, 2022 to November 17, 2022 - Valencia, Spain
- UBICOMM 2022, The Sixteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
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TrendNews 2022 Congress
November 13, 2022 to November 17, 2022 - Valencia, Spain
- CORETA 2022, Advances on Core Technologies and Applications
- DIGITAL 2022, Advances on Societal Digital Transformation
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ThinkMind // DATA ANALYTICS 2018, The Seventh International Conference on Data Analytics
 Type: conference Download: DATA ANALYTICS 2018 cover page Download: DATA ANALYTICS 2018 foreword page Download: DATA ANALYTICS 2018 committee page Download: DATA ANALYTICS 2018 table of contents Download: DATA ANALYTICS 2018 full proceedings Notes: IARIA Conference. Editors:
Sandjai Bhulai, Vrije Universiteit Amsterdam, the Netherlands
Dimitris Kardaras, Athens University of Economics and Business, Greece
Ivana Semanjski, University of Zagreb, Croatia/ Ghent University, Belgium Event editions: - there are 10 editions. ISSN: 2308-4464 ISBN: 978-1-61208-681-1 Location: Athens, Greece Dates: from November 18, 2018 to November 22, 2018 Articles: there are 25 articles Utilizing Data Analytics to Support Process Implementation in Knowledge-intensive Domains
Gregor Grambow
keywords: data analytics; knowledge-intensive projects; process implementation
Developing Transparent Credit Risk Scorecards More Effectively: An Explainable Artificial Intelligence Approach
Gerald Fahner
keywords: explainable artificial intelligence; algorithmic transparency; machine learning; gradient boosting; neural nets; credit risk scoring; scorecard; segmentation; constraining models
Towards a Scalable Data-Intensive Text Processing Architecture with Python and Cassandra
Gregor-Patrick Heine, Thomas Woltron, and Alexander Wöhrer
keywords: Cassandra; Streaming; Python; Multiprocessing; Twitter; Sentiment Analysis
Big Data Analytics for the Small Social Enterprise: How to Create a Data-driven Approach to Address Social Challenges
Soraya Sedkaoui and Salim Moualdi
keywords: big data; social innovation; small social enterpsies, analytics.
Dynamic Scenario-based Selection of Data Aggregation Techniques
Oladotun Omosebi, Nik Bessis, Yannis Korkontzelos, Evangelos Pournaras, Quanbin Sun, and Stelios Sotiriadis
keywords: Internet of Things; Wireless Sensor Networks; Big Data; Data Aggregation; Adaptive Model
Analysis of Twitter Communication During the 2017 German Federal Election
Marek Opuszko, Laura Bode, and Stephan Ulbricht
keywords: social media, Twitter, sentiment, elections
Social Media and Google Trends in Support of Audience Analytics: Methodology and Architecture
Nikos Kalatzis, Ioanna Roussaki, Christos Matsoukas, Marios Paraskevopoulos, Symeon Papavassiliou, and Simona Tonoli
keywords: social media data; audience analytics; methodology; reference architecture; Twitter; Facebook; Google Trends.
Stance Classification Using Political Parties in Tokyo Metropolitan Assembly Minutes
Yasutomo Kimura and Minoru Sasaki
keywords: Stance classification; Political party; Local assembly minutes.
The Impact of Social Media on User's Travel Purchase Intention
Stavros Kaperonis
keywords: Social media; costumer attidude; purchase intention; credibility; enjoyment; information; perceived value; SEM.
Profiling Using Fuzzy Set QCA for Medical Diagnosis-The Case of Anemia
Stavroula Barbounaki, Nikos Dimitrioglou, Dimitris Kardaras, and Ilias Petrounias
keywords: medical diagnosis; intelligent systems; fuzzy logic; QCA; healthcare
A Modeling Tool for Equipment Health Estimation Using a System Identification Approach
Alexander Dementjev, Ilkay Wunderlich, Klaus Kabitzschh, and Germar Schneider
keywords: Equipment Health; Data-Driven Modeling; System Identification; Predictive Maintenance; Time Series Analysis.
Shine on Transport Model Simulation Data: Web-based Visualization in R using Shiny
Antje von Schmidt, Rita Cyganski, and Matthias Heinrichs
keywords: transport demand model; simulation data; visualization; R; Shiny
Machine Learning for Cyber Defense and Attack
Manjeet Rege and Raymond Blanch K. Mbah
keywords: Cyber Security; Machine Learning; Malware; Thread Detection and Classification; Network Risk Scoring.
Algorithms for Electrical Power Time Series Classification and Clustering
Gaia Ceresa, Andrea Pitto, Diego Cirio, Emanuele Ciapessoni, and Nicolas Omont
keywords: Multimodality; Gaussian Mixture; Cluster; Time series
An Integration Module for Mining Textual and Visual Social Media Data
Mohammed Ali Eltaher
keywords: social media mining; content based integration; semantic based integration.
A Predictive Data Analytic for the Hardness of Hamiltonian Cycle Problem Instances
Gijs van Horn, Richard Olij, Joeri Sleegers, and Daan van den Berg
keywords: Hamiltonian Cycle; exact algorithm; exhaustive algorithm; heuristic; phase transition; order parameter; data analytics; instance hardness; replication.
Predictive Analytics in Utility Vehicle Maintenance
Juergen Prinzbach and Stephan Trahasch
keywords: maintenance; utility vehicle; spare parts; data analysis; predictive analytics.
Evaluation of Ship Energy Efficiency Predictive and Optimization Models Based on Noon Reports and Condition Monitoring Datasets
Christos Spandonidis, Nikos Themelis, George Christopoulos, and Christos Giordamlis
keywords: - Continuous Monitoring; Noon Report; Performance Assessment; Trim Assessment.
Forecasting Burglary Risk in Small Areas Via Network Analysis of City Streets
Maria Mahfoud, Sandjai Bhulai, Rob van der Mei, Dimitry Erkin, and Elenna Dugundji
keywords: predictive analytics; forecasting; street network; betweenness centrality; closeness centrality; residential burglary
Optimal Taxi Fleet Management: a Linear Programming Approach to the Taxi Capacity Problem
Jacky Li and Sandjai Bhulai
keywords: New York taxi service; revenue optimization; optimal routing; linear programming; min-cost network flow problem
Dynamic Models for Knowledge Tracing & Prediction of Future Performance
Androniki Sapountzi, Sandjai Bhulai, Ilja Cornelisz, and Chris van Klaveren
keywords: big data applications; educational data mining; knowledge tracing; sequential supervised machine learning
Efficient Use of Geographical Information Systems for Improving Transport Mode Classification
Jorge Rodriguez-Echeverria, Sidharta Gautama, Nico Van de Weghe, Daniel Ochoa, and Benhur Ortiz-Jaramillo
keywords: Transport mode classification; Crowdsourcing; Tracking data; Receiver operating characteristic
Cyber-threats Analytics for Detection of GNSS Spoofing
Silvio Semanjski, Ivana Semanjski, Wim De Wilde, and Alain Muls
keywords: Global Navigation Satellite System; Spoofing; Support Vector Machines; Safety-of-Life; Position-Navigation-Timing; GPS; GNSS; PNT; SVM; SOL
Comparing Route Deviation Bus Operation With Respect to Dial-a-Ride Service for a Low-Demand Residential Area
Antonio Pratelli, Marino Lupi, Alessandro Farina, and Chiara Pratelli
keywords: Flexible route design and planning; Route Deviation Bus operations; Dial-a-Ride transit systems; Integer programming.
Big Data-driven Multimodal Traffic Management: Trends and Challenges
Ivana Semanjski and Sidharta Gautama
keywords: big data; traffic management; platform architecture, autonomous vehicles; digital twin
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