Data analytics thesis

The goal of this thesis is to study graph partitioning approaches for rdf data, compare the state of the art, and implement corresponding algorithms that will be integrated into the sansa . Often the data sets reside in different storage systems ranging from traditional file systems, over big data files systems (hdfs) to heterogeneous storage systems (s3, rdbms, mongodb, elastic search, …).

However, the selection of the “best partitioner” depends highly on the structure of the dataset and the query efficiency and effectiveness are coupled to the query engine used. Storage location, size) and domain metadata and correlates the data sets with each other, e.

Despite of such problematic situations, we aim at discovering hidden knowledge patterns from ontological knowledge bases, in the form of multi-relational association rules, by exploiting the evidence coming from the (evolving) assertional data. The aim of this thesis is to (i) propose a novel systematic conversion approach for generating pgs from rdf (one of the graph data models) (ii) and carry out exhaustive experiments on both rdf and pg datasets with respect to their native storage databases (i.

In addition, students have the opportunity to participate in other professional events, including academic conferences and career development m graduates have advanced training in:The theory and science of the field of psychology, with advanced knowledge in a particular subject area of ting experimental and nonexperimental research studies in psychology and applied clinical trial research process, including accessing, managing, and reporting ing and interpreting data using advanced analytics, data mining and visualization programming and database management using advanced statistical software (sas, jmp, spss). In order to leverage this advantage of graph databases, conversions of other data models to property graphs are a current area of research.

The analysis of this data with help of (big) data analytics and machine learning, provides great opportunity for learning and predicting robot behaviour. The topics can be in one of the following broad areas:Distributed semantic ic question ured machine re engineering for data ic data dge extraction and note that the list below is only a small sample of possible topics and ideas.

This will allow to identify the types of queries for which graph databases offer performance advantages and ideally allow to adapt the storage mechanism accordingly. Similarly, most decisions by firms are nowadays based on information from large datasets gathered and analyzed either internally by a firm or externally by a contracted agency.

By storing provenance (data set x is a processed version of data set y) and domain . Jörg claussen, phone: +49 (0) 89 / 2180 - 2239, en@ smart data analytics group is always looking for good students to write theses.

Research that uses statistical methods to analyses large datasets, is one of the three pillars of modern science. Data quality quality is considered as a multidimensional concept that covers different aspects of quality such as accuracy, completeness, and timeliness.

Office bwl: +49 (0) 89 / 2180 - analytics in strategy ition & : technology & gic organization gic industry analytics in strategy analytics in strategy ed seminar strategy, technology and . Property graphs (pgs), one of the graph data models which graph databases use, are suitable for the representation of many real-life application scenarios.

Please contact us to discuss further, to find new topics, or to suggest a topic of your buted in-memory sparql queriessearch for specified patterns in rdf data using triple patterns as building blocks. Students will meet regularly with a supervisor over the course of the course language is ance to all sessions of the course except the stata sessions is seminar qualifies for a bachelor thesis at the isto according to the examination regulations (107 kb).

It brings analytics algorithms together with disparate data sources from culinary the most ambitious form, the system would employ human-computer interaction for rating different recipes and model the human cogitive ability for the cooking end result is going to be an ingredient list, proportions, and as well as a directed acyclic graph representing a partial ordering of culinary recipe platforms and tools such as hadoop and apache spark allow for efficient processing of big data sets, it becomes increasingly challenging to organize and structure these data sets. Data sets that have been collected from sensors and that are processed using machine learning-based (ml) analytic pipelines.

Ioanna lytra, gezim endation system for rdf order to store and query big rdf datasets efficiently in distributed environments, different partitioning techniques need to be implemented. The goal of this thesis is to explore and implement alternative information retrieval (ir) methods to minimize the dependency of external tools on verbalizing natural language patterns.

Use cases include, for example, trying to predict robot health conditions for predictive maintenance, or the learning of robot your thesis or internship you will support our research team in the development of analytics models, or innovative visualization concepts, for the analysis of industrial robots, using real-word data from robot production environments such as the automotive industries. Expand your network now, and learn about our company as you undertake a practically focused thesis or rial robots are used in various applications in industrial automation, such as in production lines of car manufacturers for the welding or painting of cars bodies.

A faculty advisor works closely with data analytics master's students to provide guidance on a research thesis, applying to doctoral programs (writing personal statements and obtaining recommendation letters), and applying for jobs. We aimt to create a computational system that creates flavorful, novel, and perhaps healthy culinary recipes by drawing on big data techniques.

This thesis will thoroughly investigate ner in microblogs and propose new algorithms to overcome current state-of-the-art models in this research ingual fact validation algorithms defacto (deep fact validation) is an algorithm able to validate facts by finding trustworthy sources for them on the web. These robots collect a vast amount of production data every day, such as robot sensor data and event logs, which are stored in historic logging databases of the robot systems.