Neurotrauma as a big-data problem

Cancer's Big Data Problem

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....

Big Data as a Governance Mechanism

This study empirically investigates two effects of the availability of alternative data: stock price efficiency and its disciplining effect on managers’ actions. Recent advancements in cloud computing, data collection, and machine learning have enabled technology companies to collect real-time, granular indicators of fundamentals to be sold to investment professionals. These data include consum...

Digital Forensics as a Big Data Challenge

Digital Forensics, as a science and part of the forensic sciences, is facing new challenges that may well render established models and practices obsolete. The dimensions of potential digital evidence supports has grown exponentially, be it hard disks in desktop and laptops or solid state memories in mobile devices like smartphones and tablets, even while latency times lag behind. Cloud service...

Sensing as a Service and Big Data

Internet of Things (IoT) will comprise billions of devices that can sense, communicate, compute and potentially actuate. Data streams coming from these devices will challenge the traditional approaches to data management and contribute to the emerging paradigm of big data. This paper discusses emerging Internet of Things (IoT) architecture, large scale sensor network applications, federating se...