Discovery Science: 17th International Conference, DS 2014, by Sašo Džeroski, Panče Panov, Dragi Kocev, Ljupčo Todorovski

By Sašo Džeroski, Panče Panov, Dragi Kocev, Ljupčo Todorovski

This booklet constitutes the complaints of the seventeenth overseas convention on Discovery technological know-how, DS 2014, held in Bled, Slovenia, in October 2014. The 30 complete papers integrated during this quantity have been rigorously reviewed and chosen from sixty two submissions. The papers disguise themes comparable to: computational medical discovery; information mining and data discovery; computing device studying and statistical tools; computational creativity; mining medical facts; facts and data visualization; wisdom discovery from clinical literature; mining textual content, unstructured and multimedia information; mining dependent and relational facts; mining temporal and spatial info; mining facts streams; community research; discovery informatics; discovery and experimental workflows; wisdom catch and medical ontologies; information and information integration; good judgment and philosophy of clinical discovery; and purposes of computational equipment in a variety of medical domains.

Show description

Read or Download Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings PDF

Best international_1 books

Geldanlage und Vermögensverwaltung international

Nicht erst seit der Einfiihrung der zwischenzeitlich wieder aufgehobenen Quellensteuer ist die Geldanlage im Ausland ein sehr wichtiges Thema fiir den privaten Anleger. Damit aber die Kapitalanlage nicht zum Fehlschlag wird, sind grundlegende Informatio nen iiber ihre Chancen und Risiken und die Besteuerung im In- und Ausland unabding bar.

Difference Equations And Discrete Dynamical Systems: Proceedings of the 9th International Conference University of Southern California, Los Angeles, California, USA, 2-7 August 2004

Distinction Equations or Discrete Dynamical structures is a various box which affects nearly each department of natural and utilized arithmetic. no longer unusually, the suggestions which are built differ simply as commonly. not more so is that this kind mirrored than on the prestigious annual overseas convention on distinction Equations and functions.

Proceedings of the Second International Conference on Mechatronics and Automatic Control

This e-book examines mechatronics and automated regulate platforms. The e-book covers vital rising themes in sign processing, keep watch over concept, sensors, mechanic production structures and automation. The booklet provides papers from the second one overseas convention on Mechatronics and automated keep watch over structures held in Beijing, China on September 20-21, 2014.

Smart Growth and Sustainable Development: Selected Papers from the 9th International Association for China Planning Conference, Chongqing, China, June 19 - 21, 2015

This e-book explores find out how to take on the demanding situations of urbanization via overseas classes in sustainable improvement and clever development techniques. As readers will notice, clever progress deals an method of urbanization with the purpose to: increase the potency of land use, shield the common and cultural atmosphere, advertise monetary prosperity and increase the standard of existence.

Extra info for Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings

Sample text

Section 6 explains textual visualization, which is utilized as a novel method when combined with both feature selection and the Bayesian Network model. We conclude our study in section 7. 2 Related Work Many different soft computing methods and techniques have been utilized in the area of stock market predictions through the application of specific techniques for selecting important features [1]. Feature selection is one of the Data Mining techniques most commonly used to select a set of relevant features from datasets based on some predetermined criterion [18].

Music dataset and plots: E, F, G and H are experiments on the Movielens 1M dataset. One can notice that results obtained with the Item-Knn and synthetic data are much lower than using real training data. This behaviour is more pronounced for the Yahoo! Music dataset, which is more sparse than the MovieLens 1M dataset. This confirms the hypothesis that Item-Knn is more sensitive to changes to the noise in local data distribution. 32 N. Antulov-Fantulin et al. fixed-size clickstream sets Ctrain and Ctest .

31] proposed an anonymization framework for string-like data. They used the condensation-based techniques to construct condensed groups and their aggregate statistics. From the aggregate statistics, they calculated the first and the second order information statistics of symbol distributions in strings, and generated synthetic, pseudo-string data. But still, many data-privacy researchers agree that high dimensional data poorly resist to de-anonymization [5] which poses privacy issues for companies, and prevent the usage of real-life datasets for research purposes.

Download PDF sample

Rated 4.52 of 5 – based on 24 votes