An algorithm was developed to characterize, compare, and analyze eye movement
sequences that occur during visual tracking of multiple moving targets. When individuals …

Today's decreasing product development cycle time requires rapid and cost-effective
reliability analysis and testing. Qualification is the process of demonstrating that a product is …

In recent years, the size of seismic data volumes and the number of seismic attributes
available have increased. As a result, the task of recognizing seismic anomalies for the …

由于在信用卡欺诈分析等领域的广泛应用, 学者们开始关注概念漂移数据流分类问题.
现有算法通常假设数据一旦分类后类标已知, 利用所有待分类实例的真实类别来检测数据流是否 …

A novel framework for consensus clustering is presented which has the ability to determine
both the number of clusters and a final solution using multiple algorithms. A consensus …

This thesis presents new methods for classification and thematic grouping of billions of web
pages, at scales previously not achievable. This process is also known as document …

Clustering means dividing the data into groups (known as clusters) in such a way that
objects belonging to a group are similar to each other but they are dissimilar to objects …

对于目前网络中大量的未知新型攻击, 数据挖掘技术有着比较好的应用, 从而成为了入侵检测中
的热点研究领域之一. 文章基于上述背景, 以聚类分析为主线, 提高检测率和降低误报率为目标 …

RSKNN 算法是一种基于变精度粗糙集理论的k-近邻改进算法, 该算法能够保证在一定分类精度
的前提下, 有效地降低分类的计算量, 提高分类效率. 但由于RSKNN 算法只是简单地将每个类中 …

Abstract Correlation Preserving Indexing (CPI) can discover the intrinsic structures
implanted in high-dimensional document space. To predict the result of one variable based …