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Description: 关于概念漂移的一些英文资料，可以用在个性化信息过滤系统中，希望对学习兴趣漂移的朋友有帮助。-On the concept of drift some English information can be used in a personalized information filtering system, in the hope that interest in learning has helped friends drift.
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Author: 李文 |
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Description: 将非平稳时间序列的状态空间建模方法用于陀螺过渡过程的分析.基于平滑先验约束的概念，使用卡尔曼滤波和赤池的AIC方法拟合全局模型，得到陀螺漂移模型的若干数值结果并用于陀螺系统分析.由于观测序列的趋势项、不规则分量可同时建模，因此比分别建模在统计上更加准确有效.-Will be non-stationary time series state space modeling method for the analysis of the transition process gyro. Priori smoothness constraint based on the concept, the use of Kalman filtering and Akaike s AIC method of fitting the overall model, the gyro drift model and a number of numerical results in the gyro system analysis. Due to the trend observed sequence, the irregular component may be at the same time modeling, modeling than were statistically more accurate and effective.
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Author: 我爱 |
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Description: 基于小波变换的ECG信号去噪系统设计,在信号采集时，身体的任一微小运动都会产生“基线漂移”，这是一种低频干扰，同时，由于肌电的存在又产生了高频的肌电噪声，由于空间电磁场的存在又使心电信号中混有50Hz的工频干扰。这些噪声不去除，就会影响下一步的信号处理。
综合运用数字信号处理的理论知识进行生物医学信号增强系统设计，实现ECG信号的去噪，从而加深对小波变换及其应用的理解，建立概念多分辨分析的概念，加深理解信号增强的原理、方法和步骤。本设计的主要内容是设计一个基于小波变换的ECG信号去噪系统，实现ECG信号的去噪。
-ECG signal denoising based on wavelet transform system design, signal acquisition, any small movement of the body will have a " baseline drift" , which is a low-frequency interference, while the high frequency due to the existence of the EMG muscle electrical noise due to the presence of electromagnetic field and the ECG signal mixed with a 50Hz power frequency interference. The noise is not removed, it will affect the next step in the signal processing. Use the theoretical knowledge of digital signal processing for biomedical signal enhancement system design to achieve the de-noising of ECG signal, so as to deepen understanding of the wavelet transform and its applications, to establish the concept of multi-resolution analysis of the concept, deepen the understanding of signal enhancement of the principle, the method and steps. The main elements of this design is the design of an ECG signal denoising based on wavelet transform denoising the ECG signals.
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Author: yangliu |
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Description: In this era an emerging filed in the data mining is data stream mining. The current research technique of the data stream is classification which mainly focuses on concept drift data. In mining drift data with the single classifier is not sufficient for classifying the data. Because of the high dimensionality and does not get processed within considerable time, memory, false alarm rate is high, classification accuracy result is low. In this paper, proposed a Genetic based Intuitionistic fuzzy version of k-means has been introduced for grouping interdependent features. The proposed method achieves improvement in classification accuracy and perhaps to select the least number of features which show the way to simplification of learning task. The experimental shows that the advocated method performs well when compared with existing methods.
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Size: 107520 |
Author: Opencvresearcher |
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Description: Although most business processes change over time, contemporary process mining techniques tend to analyze these processes as if they are in a steady state. Processes may change suddenly or gradually. The drift may be periodic (e.g., because of seasonal influences) or one-of-a-kind (e.g., the effects of new legislation). For the process management, it is crucial to discover and understand such concept drifts in processes. This paper presents a generic framework and specific techniques to detect when a process changes and to localize the parts of the process that have changed. Different features are proposed to characterize relationships among activities.
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Size: 20141056 |
Author: pravin |
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Description: MOA Machine Learning for Streams。它包括一系列机器学习算法（分类，回归，聚类，异常值检测，概念漂移检测和推荐系统）以及评估工具。与WEKA项目相关的MOA也是用Java编写的，同时扩展到更严苛的问题。
https://moa.cms.waikato.ac.nz/(It includes a series of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommendation system) and evaluation tools. The MOA related to the WEKA project is also written in Java, and extends to more stringent problems.)
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Size: 31840256 |
Author: 泥土诉说 |
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