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In this paper, we propose an novel interactive outlier detection system called feature-rich interactive outlier detection (FRIOD), which features a deep integration of human interaction to improve detection performance and greatly streamline the detection process. A user-friendly interactive mechanism is developed to allow easy and intuitive user interaction in all the major stages of the underlying...
Network trace data provide valuable information which contributes to model the network behaviors, defend network attacks and develop new protocols, so releasing the data of network trace is highly demanded by researchers and organizations to promote the development of the network technologies. However, due to the sensitive nature of network trace data, it is a potential risk for organizations to publish...
Sensor networks usually generate mass of data, which if not structured for future applications, will require much effort on analytical processing and interpretations. Thus, storing sensor data in an effective and structured format is a key issue in the area of sensor networks. In the meantime, even a little improvement on data storing structure may lead to a significant effect on the lifetime and...
Time between failures (TBF) is one of the most important indexes of the helicopter availability and reliability. Face to the helicopter characteristics, the prediction model could be constructed based on the grey theory, and the predictive data would be compared with the actual data. The results shows that the model could have a good precision and also could provide a reference to the prediction on...
According to the problem of amount and complexity of calculation exponent increased with the measurement dimension increment when multi-data source related by D-S Fusion arithmetic, a fault diagnosis method combined PCA and D-S evidence theory is proposed. Then, the characteristic of data dimension reduction of PCA and the completeness of fault diagnosis and the advantage of presenting and reasoning...
The atmospheric environment simulation is one of the important parts of synthetic natural environment (SNE) simulation, and plays an important role in the design optimization of weapon system, the simulation of military operations, the assessment of the disaster prevention and reduction decision-making, and so on. The reliability of atmospheric environment simulation depends on how effective to represent...
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Outlier deTector (SPOT), to deal with the problem of anomaly detection from high-dimensional data streams. We conduct a case study of SPOT in this paper by deploying it on 1999 KDD Intrusion Detection application. Innovative approaches for training...
In this paper, we present a new technique, called stream projected ouliter detector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique in a number of aspects. First, SPOT employs a novel window-based time model and decaying cell summaries to capture statistics from the data stream. Second, sparse subspace template (SST), a set of top sparse subspaces obtained...
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