Data analytics: knowledge building made easy for SMEs

Data analytics: knowledge building made easy for SMEs

Big Data, Artificial Intelligence, digital business models – these are just a few trend words that small and medium-sized enterprises (SMEs) are also confronted with. While large companies are already using profitable smart data technologies effectively and benefiting from them in the long term, SMEs often cite a lack of knowledge, excessive costs or a […]

SDSC BW: The appropiate algorithms for Big Data

SDSC BW: The appropiate algorithms for Big Data

Published August 2016. Every day Echobot Media Technologies GmbH analyzes millions of texts from websites, social media and news sites for its customers. These analyses help, for example, with marketing, sales or the optimization of public relations. In order to analyze digital contents, Echobot first has to perform an automatic classification of the recorded texts. […]

Association Rule Mining for High Dimensional Master Data

Association Rule Mining for High Dimensional Master Data

Published Januar 2016. There are various approaches to association rule mining in large data sets. Typical applications are in market basket analyses, medical diagnosis, biomedical literature, protein sequences, census data, logistic regression and fraud detection. There are not many known approaches to association rule mining for Master Data. However, Master Data are a key asset […]

GPU + In-Memory Data Management for Big Data Analytics

GPU + In-Memory Data Management for Big Data Analytics

Published October 2014. In this project, we develop a toolchain based on In-Memory Data Management and Parallel Data Processing in the GPU using CUDA for large and intensive Smart Meter analytics. The global rollout of Smart Meters opens a new business paradigm for utilities with data collection/transaction at such a high volume and velocity. For […]