Abstract: In this paper we evaluate and compare two representativeand popular distributed processing engines for large scalebig data analytics, Spark and graph based engine GraphLab. Wedesign a ...

The capacity to quickly store and analyze highly related data has led to graph databases’ meteoric popularity in the past few years. Applications like social networks, recommendation engines, and ...

The advances in computing hardware technology have paved way for easier implementations of machine learning and artificial intelligence applications to solve real-world problems. But most of these ...

The ability of large macromolecules to exhibit nontrivial deviations in colligative properties of their aqueous solutions is well-appreciated in polymer physics. Here, we show that this colligative ...

I understand this software has been open-sourced. I am attending the Coursera Module Machine Learning Foundations: A Case Study Approach, which as you might know is heavily dependent on the tool. The ...

Abstract: The emergence of next generation DNA sequencers has raised interest in short read de novo assembly of whole genomes. Though numerous frameworks were developed in the held, the presence of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Mineralization of fibrillar collagen with biomimetic process-directing agents has enabled scientists to gain insight into the potential mechanisms involved in intrafibrillar mineralization. Here, by ...

UC Berkeley AMPLab will shut its doors in December after six years of delivering major technological innovations like Apache Spark, Apache Mesos, and Alluxio. Taking its place is the RISELab, which ...

ATP, a Common Constituent of Vesicles, Reduces Intravesicular Osmotic Pressure by Polymerizing Vesicular Contents and Reducing the Number of Individual Free Particles The leading hypothesis by Estévez ...