With 1.5 billion new messages added every day and a yearly data growth rate estimated at 30%-50%, both historical and real time financial data processing becomes increasingly challenging. Market forecasts and risk assessments with thousands of portfolio members, resulting in […]

The visual analytics layer of SmartDataLake comprises two main components, namely the Visual Analytics Engine and the Visual Explorer. The Visual Analytics Engine interfaces directly with the data virtualization and mining components of the SmartDataLake toolkit, preparing their results for […]

PathLearn is an open-source component for performing link prediction in Heterogeneous Information Networks (HINs). PathLearn predicts links by modeling the effect of every path that exists between pairs of nodes. Instead of assigning a discrete type to each path, PathLearn […]

SimSearch is a tool that simplifies data exploration by enabling top-k similarity search over large collections of entities involving multiple heterogeneous attributes from different sources. It supports different modes for data access and query over diverse types of attributes, including […]

The Query Approximation Layer (QAL), developed by the Eindhoven University of Technology, allows users to get approximate results with error guarantees for SQL aggregation queries. QAL introduces a novel adaptive approximate processing engine that constructs the synopses which maximize the […]