Titlebook: Machine Learning and Knowledge Extraction; First IFIP TC 5, WG Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2017

malapropism

0302-9743 over a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics..978-3-319-66807-9978-3-319-66808-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

gnarled

MEAN

Decision Tree Rule Induction for Detecting Covert Timing Channels in TCP/IP Trafficstbed allows the evaluation of covert channel detection techniques. We specifically applied Decision Trees to infer DAT-rules, achieving high accuracy and detection rates. This paper is a step forward for the actual implementation of effective covert channel detection plugins in modern network security devices.

歸功于

A Short-Term Forecast Approach of Public Buildings’ Power Demands upon Multi-source Datasplay the relationships between the factors and forecast the daily electric power demands of nine public buildings including hotels, shopping malls, and office buildings in city of Hangzhou, China over the period of a month. The computational experiments are conducted and the result favors our approach.

panorama

Conference proceedings 2017ledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017..The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of

光明正大

Practical Estimation of Mutual Information on Non-Euclidean SpacesMutual Information as the measure criterion for this approach, and detail how we propose to measure Mutual Information over non-Euclidean data, in practice, using two possible existing estimators. We test this approach using toy data to illustrate the effects of some well known anonymization techniques on the proposed measure.

猛然一拉

Lineage

難聽的聲音

Andreas Holzinger,Peter Kieseberg,Edgar WeipplIncludes supplementary material:

食道