Titlebook: Special Operations from a Small State Perspective; Future Security Chal Gunilla Eriksson,Ulrica Pettersson Book 2017 The Editor(s) (if appl

骇人

Dennis Gyllensporreng the stored models. We evaluate the effectiveness of our postdiction pipeline in terms of storage reduction and data recovery accuracy using a real healthcare dataset. Our preliminary results show that the order in which outlier detection, clustering, and machine learning methods are applied leads

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无意

MLI,JCAtomate the central heating network’s emergency monitoring. The presented real-time emergency monitoring approach processes the correlations between semantic and context of incoming data sets to determine an emergency’s actual risk of a water leak. The STEM approach processes the network’s sensors’ d

constellation

PBOtection of anomalous traces in event logs towards fitting the best discriminative capability between common and irregular traces. Our method extracts meta-features from an event log and recommends the most suitable encoding technique to increase the anomaly detection performance. We used three encod

可行

CJE,JSItomate the central heating network’s emergency monitoring. The presented real-time emergency monitoring approach processes the correlations between semantic and context of incoming data sets to determine an emergency’s actual risk of a water leak. The STEM approach processes the network’s sensors’ d

ETCH

AAAtomate the central heating network’s emergency monitoring. The presented real-time emergency monitoring approach processes the correlations between semantic and context of incoming data sets to determine an emergency’s actual risk of a water leak. The STEM approach processes the network’s sensors’ d

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MMIigh level (and qualitative) description of past and current situations defined over streams of medical data, complemented by projections into the future. Our proposed database extension allows for a compact and intuitive representation of medical data; much like physicians use abstraction from detai

cognizant

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Ulrica Pettersson,Gunilla Eriksson,Urban Molinlogies for designing high quality information systems, and new research and technological developments which use ontologies all over the life cycle of information systems..The 1.st. International Workshop on Technologies for Quality Management in Challenging Applications (TQMCA’2014) focuses on qual

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s both but is focused on OLAP or XML databases. In this paper, we describe a mechanism for storing concurrent versions of data in an OLTP database. We explore two different implementation alternatives for versioned data storage and evaluate their relative merits given different workloads. We provide