Rapid development in hardware industry has brought the prevalence of multi-core systems with shared-memory, which enabled the speedup of various tasks by using parallel algorithms....
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
—Following the trend of miniature intelligent sensing, wearing small, integrated wireless sensor nodes, such as one with accelerometers and compasses, to capture human body motio...
The DBpedia project extracts information from Wikipedia, interlinks it with other knowledge bases, and makes this data available as RDF. So far the DBpedia project has succeeded in...
Sebastian Hellmann, Claus Stadler, Jens Lehmann, S...