Data-intensive environments enable us to capture information and knowledge about the physical surroundings, to optimise our resources, enjoy personalised services and gain unprecedented insights into our lives. However, to obtain these endeavours extracted from the data, this data should be generated, collected and the insight should be exploited. Following an argumentation reasoning approach for data processing and building on the theoretical background of data management, we highlight the importance of data sharing agreements (DSAs) and quality attributes for the proposed data processing mechanism. The proposed approach is taking into account the DSAs and usage policies as well as the quality attributes of the data, which were previously ...
This dissertation is concerned with build an analytic infrastructure to support Big Data analytic. I...
Rapid growth in the area of argument mining has resulted in an ever increasing volume of analysed ar...
In light of the current explosion of application of machine learning in data analysis and inference,...
Data-intensive environments enable us to capture information and knowledge about the physical surrou...
Open Datasets provide one of the most popular ways to acquire insight and information about individu...
Open Datasets provide one of the most popular ways to ac- quire insight and information about indivi...
The condition under which the data wrangling process is undertaken has a profound impact on the qual...
Machine Learning systems rely on data for training, input and ongoing feedback and validation. Data ...
Data-oriented systems and applications are at the centre of current developments of the World Wide W...
The conditions under which the data wrangling process is undertaken has a profound impact on the qua...
This Data Analytics (DA) position paper presents an overview in summary form of key literature (acad...
Internet of Things environments enable us to capture more and more data about the physical environme...
Big data analytics uses algorithms for decision-making and targeting of customers. These algorithms ...
This is the author accepted manuscript. The final version is available from MIT press via the DOI in...
Raw data should be treated as materials for manufacturing products so that organizations can identif...
This dissertation is concerned with build an analytic infrastructure to support Big Data analytic. I...
Rapid growth in the area of argument mining has resulted in an ever increasing volume of analysed ar...
In light of the current explosion of application of machine learning in data analysis and inference,...
Data-intensive environments enable us to capture information and knowledge about the physical surrou...
Open Datasets provide one of the most popular ways to acquire insight and information about individu...
Open Datasets provide one of the most popular ways to ac- quire insight and information about indivi...
The condition under which the data wrangling process is undertaken has a profound impact on the qual...
Machine Learning systems rely on data for training, input and ongoing feedback and validation. Data ...
Data-oriented systems and applications are at the centre of current developments of the World Wide W...
The conditions under which the data wrangling process is undertaken has a profound impact on the qua...
This Data Analytics (DA) position paper presents an overview in summary form of key literature (acad...
Internet of Things environments enable us to capture more and more data about the physical environme...
Big data analytics uses algorithms for decision-making and targeting of customers. These algorithms ...
This is the author accepted manuscript. The final version is available from MIT press via the DOI in...
Raw data should be treated as materials for manufacturing products so that organizations can identif...
This dissertation is concerned with build an analytic infrastructure to support Big Data analytic. I...
Rapid growth in the area of argument mining has resulted in an ever increasing volume of analysed ar...
In light of the current explosion of application of machine learning in data analysis and inference,...