GLA: A Generic Analytics Tool for e-Learning Daniel Schön, Steffen Sikora, Stephan Kopf, Wolfgang Effelsberg Department of Computer Science IV University of Mannheim Seminar Building A5, Mannheim

Source URL: ceur-ws.org

• Education
• Educational technology
• Learning
• Formal sciences
• Learning analytics
• Analytics
• Educational data mining
• Virtual learning environment
• Learning management system
• Data mining

Ein generisches Datenmodell für Learning Analytics Albrecht Fortenbacher, Marcus Klüsener, Sebastian Schwarzrock Hochschule für Technik und Wirtschaft Berlin Wilhelminenhofstraße 75ABerlin {albrecht.fortenbach

Source URL: ceur-ws.org

Becoming an analyticsdriven organization to create value A report in collaboration with Nimbus Ninety 2

Source URL: www.ey.com

• Data management
• Business intelligence
• Formal sciences
• Big data
• Analytics
• Mathematical finance
• Data governance
• Data quality
• Prescriptive analytics
• Learning analytics

Chapter 3 Tree- based Regress ion This chapter describes two different approaches to induce regression trees. We first present the standard methodology based on the minimisation of the squared error. Least squares (LS) r

Source URL: www.dcc.fc.up.pt

• Regression analysis
• Econometrics
• Estimation theory
• Mathematical optimization
• Decision trees
• Decision tree learning
• Linear regression
• Least squares
• Least absolute deviations
• Multivariate adaptive regression splines
• Predictive analytics

Classification of Passes in Football Matches using Spatiotemporal Data Michael Horton Joachim Gudmundsson

Source URL: www.large-scale-sports-analytics.org

• Statistical classification
• Machine learning
• Regression analysis
• Econometrics
• Support vector machine
• Multinomial logistic regression
• Supervised learning
• Margin classifier
• Classifier
• Prediction
• Linear discriminant analysis
• Linear regression

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Source URL: www.opticca.com

• Business intelligence
• Formal sciences
• Data management
• Big data
• Predictive analytics
• Analytics
• Predictive Model Markup Language
• Prescriptive analytics
• Learning analytics

Multi-objective Genetic Programming for Visual Analytics Ilknur Icke1 and Andrew Rosenberg1,2 1 The Graduate Center, The City University of New York,

Source URL: eniac.cs.qc.cuny.edu

• Multivariate statistics
• Dimension reduction
• Statistical classification
• Machine learning
• Principal component analysis
• Dimensionality reduction
• K-nearest neighbors algorithm
• Feature extraction
• Curse of dimensionality
• Linear discriminant analysis
• Multidimensional scaling
• Kernel principal component analysis

Beating the Bookmakers: Leveraging Statistics and Twitter Microposts for Predicting Soccer Results Fréderic Godin1 Jasper Zuallaert1

Source URL: www.large-scale-sports-analytics.org

• Futurology
• Prediction
• Scientific method
• Social information processing
• Machine learning
• Paul the Octopus
• Forecasting
• The Wisdom of Crowds

Large-Scale Machine Learning at Verizon Ashok N. Srivastava, Ph.D. Chief Data Scientist, Verizon A Transition in Roles

Source URL: mmds-data.org

• Broadband
• Video on demand
• Marketing
• Data management
• Advertising
• Big data
• Analytics
• Verizon Communications
• Clickstream
• Advertising network
• Targeted advertising
• Verizon Fios

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITVCG, IEEE Tr

Source URL: www.ycwu.org

• Educational psychology
• Educational technology
• Online education
• Visualization
• Open educational resources
• Massive open online course
• Iversity
• Clickstream
• Data visualization
• Learning
• E-learning
• Visual analytics