Financial Data Collection Based on Big Data Intelligent Processing

Intelligent Distributed Processing Methods for Big Data

Motivation Today, “Big Data” is a new information overloading problem in many different areas. Such areas include health cares (e.g., medical records, bioinformatics), e-sciences (e.g., physics, chemistry, and geology), and social sciences (e.g., politics). Thus, as we have various types of feasible data from a number of available sources, it is becoming increasingly more difficult to efficient...

iPRODICT - Intelligent Process Prediction based on Big Data Analytics

The major purpose of the iPRODICT research project is to operationalize industrial internet of things driven predictive and prescriptive analytics by embedding it to the operational processes. Particularly, within an interdisciplinary team of researchers and industry experts, we investigate an integration of diverse technologies to enable real time sensor data driven decision making for process...

Semantics, intelligent processing and services for big data

With the continuous increase of data, scaling up to unprecedented amounts, generated by Internet-based systems, Big Data has emerged as a new research field, coined as ‘‘Big Data Science’’. The core of Big Data Science is the extraction of knowledge from data as a basis for intelligent services and decision making systems, however, it encompasses many research topics and investigates a variety ...

SparkGalaxy: Workflow-based Big Data Processing

We introduce SparkGalaxy, a big data processing toolkit that is able to encode complex data science experiments as a set of high-level workflows. SparkGalaxy combines the Spark big data processing platform and the Galaxy workflow management system to o↵er a set of tools for graph processing and machine learning using a novel interaction model for creating and using complex workflows. SparkGalax...

Data collection and processing