Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
The efficiency of frequent itemset mining algorithms is determined mainly by three factors: the way candidates are generated, the data structure that is used and the implementati...
: In this paper, we will propose PC-Filter (PC stands for Partition Comparison), a robust data filter for approximately duplicate record detection in large databases. PC-Filter dis...
Ji Zhang, Tok Wang Ling, Robert M. Bruckner, Han L...
Real-time rendering of triangulated surfaces has attracted growing interest in the last few years. However, interactive visualization of very large scale grid digital elevation mo...