Archive for the Analytics category
bigvis2020
June 26, 2020
Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications – Part 2
Data visualization and analytics are nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can […]
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Vikram Pudi
April 21, 2020
Simulating Infection Spread
It might seem obvious that reducing social movement will reduce the spread of infection. However, it is not obvious how much it will reduce. Will it be enough to stop the virus? Will it only slow it down? How long do we expect the virus to last in regions with differing population densities? While there […]
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bigvis2020
March 20, 2020
Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications – Part 1
Data visualization and analytics are nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can […]
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Yunyao Li and Shivakumar Vaithyanathan
November 14, 2018
Role of AI in Enterprise Applications
The recent return of AI summer and the enthusiastic uptake of AI in the commercial world can be loosely attributed to three innovations: Apple’s Siri, Google’s self-driving cars, and IBM Watson Jeopardy. This enthusiasm stems from the belief that AI will influence a wide range of applications across multiple industry segments. While such enthusiasm is, […]
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Aditya Parameswaran
June 25, 2018
Visual Data Exploration: A Fertile Ground for Data Management Research
Information visualization is an essential tool in the arsenal of a data scientist: visualizations help identify trends and patterns, spot outliers and anomalies, and verify hypotheses. Moreover, visualizations are visceral and intuitive: they tell us stories about our data; they educate, delight, inform, enthrall, amaze, and clarify. This has led to the overwhelming popularity of […]
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