论文信息 - Analytics Models for Data Science

Analytics Models for Data Science

The ultimate goal of data science is to turn raw data into data products. Data analytics is the science of examining the raw data with the purpose of making correct decisions by drawing meaningful conclusions.

Aneesh Sreevallabh Chivukula | C.S.R. Prabhu | Aditya Mogadala | Rohit Ghosh | L. M. Jenila Livingston

[1] Dongyao Wu,et al. Big Data Programming Models , 2017, Handbook of Big Data Technologies.

[2] Felix Naumann,et al. Fast Approximate Discovery of Inclusion Dependencies , 2017, BTW.

[3] Ranjit Biswas. Processing of heterogeneous big data in an atrain distributed system (ADS) using the heterogeneous data structure r-atrain , 2014 .

[4] Tim Roughgarden,et al. CS168: The Modern Algorithmic Toolbox Lecture #2: Approximate Heavy Hitters and the Count-Min Sketch , 2016 .

[5] Domenico Talia,et al. Programming models and systems for Big Data analysis , 2019, Int. J. Parallel Emergent Distributed Syst..

[6] Ingo Scholtes. Understanding complex systems: When Big Data meets network science , 2015, it Inf. Technol..