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InfoSys 2024 Congress March 10, 2024 to March 14, 2024 - Athens, Greece
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- WEB 2024, The Twelfth International Conference on Building and Exploring Web Based Environments
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InfoWare 2024 Congress March 10, 2024 to March 14, 2024 - Athens, Greece
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DataSys 2024 Congress April 14, 2024 to April 18, 2024 - Venice, Italy
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ComputationWorld 2024 Congress April 14, 2024 to April 18, 2024 - Venice, Italy
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NexComm 2024 Congress May 26, 2024 to May 30, 2024 - Barcelona, Spain
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DigitalWorld 2024 Congress May 26, 2024 to May 30, 2024 - Barcelona, Spain
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IARIA Congress 2024, The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications June 30, 2024 to July 04, 2024 - Porto, Portugal
DigiTech 2024 Congress June 30, 2024 to July 04, 2024 - Porto, Portugal
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NexTech 2024 Congress September 29, 2024 to October 03, 2024 - Venice, Italy
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SocSys 2024 Congress November 03, 2024 to November 07, 2024 - Nice, France
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ThinkMind // DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics
Type: conference Download: DATA ANALYTICS 2015 cover page Download: DATA ANALYTICS 2015 foreword page Download: DATA ANALYTICS 2015 committee page Download: DATA ANALYTICS 2015 table of contents Download: DATA ANALYTICS 2015 full proceedings Notes: IARIA Conference. Editors: Thomas Klemas, AIRS, Swansea University, USA Steve Chan, Swansea University & Hawaii Pacific University, USA Event editions: - there are 12 editions. ISSN: 2308-4464 ISBN: 978-1-61208-423-7 Location: Nice, France Dates: from July 19, 2015 to July 24, 2015 Articles: there are 28 articles Technology Roadmap for Hawaii Resiliency: Resiliency and Sustainability through Advanced Analytics Thomas Klemas and Steve Chan keywords: resiliency; sustainability; technology roadmap; analytics; decision support; high performance computing; hyper-local weather forecasting
Hold the Drones: Fostering the Development of Big Data Paradigms through Regulatory Frameworks Robert F Spousta III and Steve Chan keywords: Big Data, Blind Spots, Brittleness, Pervasive Remote Sensing, Resilience, Unmanned Aircraft System
Space Race 2.0: Expanding Global Internet Accessibility Robert Spousta III, Steve Chan, and Bob Griffin keywords: Big Data, brittleness, generativity principle, net neutrality, Internet accessibility
Automating Clustering Analysis of Ivory Coast Mobile Phone Data Deriving Decision Support Models for Community Detection and Sensemaking Thomas Klemas and Steve Chan Network Science Research Centre keywords: Sensemaking; adaptive clustering; spectral clustering; network theory; silhouette; k-means; unsupervised; partitioning; proximity measure; similarity measure; decision support; iterative; randomized singular value decomposition.
Blind Spots and Counterfeits in the Supply Chain: Lessons from Haiti that can be well applied to the Philippines and Hawaii Alison Kuzmickas, Steve Chan, Robert Spousta III, and Simone Sala keywords: Big Data, Cyber-Physical Supply Chain, Decision Engineering, Social Complexity Science, Technological Innovation
From Cheese to Fondue: A Sensemaking Methodology for Data Acquisition, Analytics, and Visualization Robert F Spousta III, Stef van den Elzen, Steve Chan, and Jan-Kees Buenen keywords: Collaborative Big Data Analytics; Decision Engineering; Data Visualization; Sensemaking Methodology
Market Basket Analysis Using Heterogeneous Multivariate Probit Models for Groups of Product Categories Harald Hruschka keywords: Market basket analysis; Multivariate probit models, MCMC; Stochastic model search
Measuring the Effects of Moods and Heart Rate Variability when Playing Video Games Fang-Yu Pai and Ching-Hsiang Lai keywords: video game; mood; heart rate variability (HRV); sympathetic; parasympathetic
A Modified Multi-objective Differential Evolution Algorithm with Application in Reinsurance Analytics Omar Andres Carmona Cortes and Andrew Rau-Chaplin keywords: Risk Analytics; Differential Evolution; Multi-objective; Parallel Computing.
League Adjusted Salary Model using Local Polynomial Regression Shinwoo Kang keywords: Local Polynomial Regression
Context-Aware Data Analytics for Activity Recognition Mohammad Pourhomayoun, Ebrahim Nemati, Bobak Mortazavi, and Majid Sarrafzadeh keywords: Activity Recognition; Indoor Localization.
Monitoring Service Adaptation and Customer Churn in the Beginning Phase of a New Service Teemu Mutanen, Ville Österlund, and Risto Kinnunen keywords: Data mining; Service adaptation; Customer churn; Customer lifetime; Logistic regression; Cross validation
An Approach to Highly Available and Extensible Data Management Systems for Large Scale Factory Floor Data Jaehui Park and Su-young Chi keywords: Big data; data-driven framework; high availibility; extensibility; predictive manufacturing.
Fuzzy Clustering Based Approach to Traffic Classification and Anomaly Detection Julija Asmuss and Gunars Lauks keywords: fuzzy clustering; fuzzy transform; traffic classification; anomaly detection
Data-Driven Approach for Analysis of Performance Indices in Mobile Work Machines Teemu Väyrynen, Suvi Peltokangas, Eero Anttila, and Matti Vilkko keywords: performance, mobile work machine, regression tree, CART
Determing the Business Value of Business Intelligence with Data Mining Methods Karin Hartl and Olaf Jacob keywords: Business Intelligence; Corporate Performance Management; Data Mining; Business Value
Data Processing Intervals through Dynamical Models Applied to the Analysis of Self-Degenerative Systems Ricardo Tomás Ferreyra keywords: dynamic; systems; attrition; measurements
Predicting the Next Executions Using High-Frequency Data Ko Sugiura, Teruo Nakatsuma, and Kenichiro McAlinn keywords: High-Frequency Trading; Tick Data; Executions; Duration Models; Bid-Ask Clustering.
Profit-based Logistic Regression: A Case Study in Credit Card Fraud Detection Azamat Kibekbaev and Ekrem Duman keywords: Fraud detection; Profit-based Logistic regression; MLE; cost function
Big & Deep Data Analytics using Statistical Significance: An Introductory Survey Sourav Dutta keywords: statistical big data analytics; chi-2 significance; text and graph mining; clustering; survey.
Combining Machine Learning with Shortest Path Methods Armand Prieditis and Chris Lee keywords: Social networks; modeling; disovery; visualization; clustering; influence analysis; machine learning
Towards the Automated Identification of Orphan Diseases from Case Descriptions Christian Rohrdantz, Andreas Stoffel, Franz Wanner, and Martin Drees keywords: Data Analytics; Text Mining; Medical Data Analytics
How can Plan Ceibal Land into the Age of Big Data? Martina Bailón, Mauro Carballo, Cristóbal Cobo, Soledad Magnone, Cecilia Marconi, Matías Mateu, and Hernán Susunday keywords: Plan Ceibal; Big Data; Learning Analytics.
Clustering Analysis of Academic Courses based on LMS Usage Levels and Patterns: Gaussian Mixture Model, K-Means Clustering and Hierarchical Clustering Il-Hyun Jo, Yeonjeong Park, Hyeyun Lee, Jongwoo Song, and Suyeon Kang keywords: Learning Management System; Clustering analysis; Gaussian Mixture Model; K-Means clustering; Hierarchical clustering.
Projective Adaptive Resonance Theory Revisited with Applications to Clustering Influence Spread in Online Social Networks Jianhong Wu keywords: -projective clustering; nonlinear dynamics in processing high dimensional data; influence soread in online social network.
Accelerated Mean Shift for Static and Streaming Environments Daniel van der Ende, Jean Marc Thiery, and Elmar Eisemann keywords: Data stream clustering; Mean Shift
Fast and Unsupervised Classification of Radio Frequency Data Sets Utilizing Machine Learning Algorithms Phil Romero and Kalpak Dighe keywords: Digital Signbal Processing ; Machine Learning ; Radio Frequency
Dynamical Behavior of Communicability Structures in Complex Networks Kyungsik Kim and Seungsik Min keywords: Communicability function; Oscillator network; Community structure; Author network
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