DATA ANALYTICS 2015, The Fourth International Conference on Data Analytics

Type: conference

Notes: IARIA Conference.

Editors:
Thomas Klemas, AIRS, Swansea University, USA
Steve Chan, Swansea University & Hawaii Pacific University, USA

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