Handbook of Big Data (Paperback, 1)

GENERAL PERSPECTIVES ON BIG DATA The Advent of Data Science: Some Considerations on the Unreasonable Effectiveness of DataRichard Starmans Big n versus Big p in Big DataNorman Matloff DATA-CENTRIC, EXPLORATORY METHODS Divide and Recombine: Approach for Detailed Analysis and Visualization of Large Complex DataRyan Hafen Integrate Big Data for Better Operation, Control, and Protection of Power SystemsGuang Lin Interactive Visual Analysis of Big DataCarlos Scheidegger A Visualization Tool for Mining Large Correlation Tables: The Association NavigatorAndreas Buja, Abba M. Krieger, and Edward I. George EFFICIENT ALGORITHMS High-Dimensional Computational GeometryAlexandr Andoni IRLBA: Fast Partial SVD MethodJames Baglama Structural Properties Underlying High-Quality Randomized Numerical Linear Algebra AlgorithmsMichael W. Mahoney and Petros Drineas Something for (Almost) Nothing: New Advances in Sublinear-Time AlgorithmsRonitt Rubinfeld and Eric Blais GRAPH APPROACHES NetworksElizabeth L. Ogburn and Alexander Volfovsky Mining Large GraphsDavid F. Gleich and Michael W. Mahoney MODEL FITTING AND REGULARIZATION Estimator and Model Selection Using Cross-ValidationIvan Diaz Stochastic Gradient Methods for Principled Estimation with Large DatasetsPanos Toulis and Edoardo M. Airoldi Learning Structured DistributionsIlias Diakonikolas Penalized Estimation in Complex ModelsJacob Bien and Daniela Witten High-Dimensional Regression and InferenceLukas Meier ENSEMBLE METHODS Divide and Recombine Subsemble, Exploiting the Power of Cross-ValidationStephanie Sapp and Erin LeDell Scalable Super LearningErin LeDell CAUSAL INFERENCE Tutorial for Causal InferenceLaura Balzer, Maya Petersen, and Mark van der Laan A Review of Some Recent Advances in Causal InferenceMarloes H. Maathuis and Preetam Nandy TARGETED LEARNING Targeted Learning for Variable ImportanceSherri Rose Online Estimation of the Average Treatment EffectSam Lendle Mining with Inference: Data-Adaptive Target ParametersAlan Hubbard and Mark van der Laan