Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Normalization as a way of producing good database designs is a well-understood topic. However, the same problem of distinguishing well-designed databases from poorly designed ones...
In this paper, we explore a new paradigm for data management in which a third party service provider hosts "database as a service" providing its customers seamless mecha...
Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limit...
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Dan...
Search engine-based features are a basic interaction mean for users to find information inside a Web-based Learning Management Systems (LMS); nonetheless, traditional solutions la...
Alessandro Bozzon, Tereza Iofciu, Wolfgang Nejdl, ...