[arXiv] BigDataFr recommends: Communication Efficient Checking of Big Data Operations

BigDataFr recommends: Communication Efficient Checking of Big Data Operations […] Subjects: Data Structures and Algorithms (cs.DS); Distributed, Parallel, and Cluster Computing (cs.DC) We propose fast probabilistic algorithms with low (i.e., sublinear in the input size) communication volume to check the correctness of operations in Big Data processing frameworks and distributed databases. Our checkers cover many […]

[arXiv] BigDataFr recommends: Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model

BigDataFr recommends: Games and Big Data: Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model […] Subjects: Machine Learning (stat.ML) The emergence of mobile games has caused a paradigm shift in the video-game industry. Game developers now have at their disposal a plethora of information on their players, and thus can take advantage of […]

[arXiv] BigDataFr recommends: Statistical Challenges of Big Brain Network Data

BigDataFr recommends: Statistical Challenges of Big Brain Network Data […] Subjects: Neurons and Cognition (q-bio.NC); Methodology (stat.ME) We explore the main characteristics of big brain network data that offer unique statistical challenges. The brain networks are biologically expected to be both sparse and hierarchical. Such unique characterizations put specific topological constraints onto statistical approaches and […]

[arXiv] BigDataFr recommends: Improving Viability of Electric Taxis by Taxi Service Strategy Optimization

BigDataFr recommends: Improving Viability of Electric Taxis by Taxi Service Strategy Optimization: A Big Data Analysis of New York City […] Subjects: Computers and Society (cs.CY) Electrification of transportation is critical for a low-carbon society. In particular, public vehicles (e.g., taxis) provide a crucial opportunity for electrification. Despite the benefits of eco-friendliness and energy efficiency, […]