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Introduction
Unexplained recurrent pregnancy loss (URPL), affecting approximately 1%–5% of women, exhibits a strong association with various maternal factors, particularly immune disorders. However, accurately predicting pregnancy outcomes based on the complex interactions and synergistic effects of various immune parameters without an automated algorithm remains challenging.
Material and methods...
In the real world concepts are often not stable but change with time. The underlying data distribution may change as well. The model built on old data will be necessarily updated. This problem is known as concept drift. Mining concept drifts is one of the most important fields in mining data stream. The paper presents a totally new gradual forgetting approach for mining concept-drift data stream....
Biological early warning systems (BEWS) which detects toxicity by tracking the physiologic responses of the whole organisms has been developed in recent years. In the paper, we firstly apply the C4.5 decision tree Algorithm to the biological early warning systems and propose a new BEWS which can detect toxicity by classifying the flea's behavior data. The new system is meaningful to both biological...
Biological early warning systems(BEWS) has been developed in recent years. BEWS detects toxicity by tracking the physiologic responses of the whole organisms. In the paper, we apply the classification technique to the biological early warning systems and propose a new BEWS which is meaningful to biological field. Meanwhile, how to select the features in such classification application is also a contribution...
Classification is an important technique in the field of Data Mining and Machine Learning. The classifier can predict the class of unknown data based on their given attribute values. In ubiquitous computing environment, a great deal information can be obtained from various sensors. However, with the time going on, new sensor may be recruited. The recruited new sensors may bring new outcomes to the...
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