Titlebook: Machine Learning and Knowledge Extraction; Second IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2018

Coordinate

Luis G. Moreno-Sandoval,Carolina Sánchez-Barriga,Katherine Espíndola Buitrago,Alexandra Pomares-Quim

offense

ARBOR

國(guó)家明智

regale

Eugen Ruppert,Dirk Hartung,Phillip Sittig,Tjorben Gschwander,Lennart R?nneburg,Tobias Killing,Chris

REP

Gene408

暗諷

Field-Reliability Predictions Based on Statistical System Lifecycle Modelsty metric for repairable systems - and reveal factors which lead to increased dependability. These results provide valuable inputs for early development stages of highly dependable equipment for future particle accelerators.

PRE

Building a Knowledge Based Summarization System for Text Data Miningnd maps their words and their syntactic relationships into Cyc knowledge base. The knowledge discovery abstracts novel concepts and derives main topics of the documents by exploring the ontology of the mapped concepts and by clustering the concepts. The knowledge representation creates new English s

人類(lèi)

Feedback Matters! Predicting the Appreciation of Online Articles ,-e author? In this paper, we investigate the relationships between the characteristics of an article like structure, style of speech, sentiment, author’s popularity, and its success (number of claps) by employing natural language processing techniques. We highlight the emotions and polarity communica