BigDataFr recommends: Big Data Analytics and Its Applications […] Subjects: Computers and Society (cs.CY) The term, Big Data, has been authored to refer to the extensive heave of data that can’t be managed by traditional data handling methods or techniques. The field of Big Data plays an indispensable role in various fields, such as agriculture, […]
Documentation
[Datasciencecentral] BigDataFr recommends: Gear Up for the Smart Video Revolution
BigDataFr recommends: Gear Up for the Smart Video Revolution […] The technology revolution promises to deliver a lot of rewards for organizations that take it by the horns and implement it. The spread of the Internet across every facet of society has meant that the traditional approach to watching videos has changed. Research shows that […]
[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 […]
[Datasciencecentral] BigDataFr recommends: Data Analytics in Banking
BigDataFr recommends: Data Analytics in Banking […] Banking is getting branch-less, contemporary and digital at a very fast pace. As banks compete to gain competitive advantage, the need for managing big data and analytics becomes more relevant. Big Data has transformed the way traditional banks worked in the past and has been very helpful in […]
[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 […]
[Datasciencecentral] BigDataFr recommends: The Role of AI in Assisting Customer Experience
BigDataFr recommends: The Role of AI in Assisting Customer Experience […] From being the plots of sci-fi thrillers to being seen as threats by the working populace, Artificial Intelligence (AI) has during the last few years jumped into the headlines as it has become a part of reality. People are confused – AI is either […]
[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, […]
[Datasciencecentral] BigDataFr recommends: Representation of Numbers with Incredibly Fast Converging Fractions
BigDataFr recommends: Representation of Numbers with Incredibly Fast Converging Fractions […] Here we discuss a new system to represent numbers, for instance constants such as Pi, e, or log 2, using rational fractions. Each iteration doubles the precision (the number of correct decimals computed) making it converging much faster than current systems such as continued […]
[arXiv] BigDataFr recommends: Amplifying Inter-message Distance: On Information Divergence Measures in Big Data
BigDataFr recommends: Amplifying Inter-message Distance: On Information Divergence Measures in Big Data […] Subjects: Information Theory (cs.IT) Message identification (M-I) divergence is an important measure of the information distance between probability distributions, similar to Kullback-Leibler (K-L) and Renyi divergence. In fact, M-I divergence with a variable parameter can make an effect on characterization of distinction […]
[arXiv] BigDataFr recommends: Visualization of Big Spatial Data using Coresets for Kernel Density Estimates
BigDataFr recommends: Visualization of Big Spatial Data using Coresets for Kernel Density Estimates […] Subjects: Human-Computer Interaction (cs.HC); Computational Geometry (cs.CG) The size of large, geo-located datasets has reached scales where visualization of all data points is inefficient. Random sampling is a method to reduce the size of a dataset, yet it can introduce unwanted […]