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» Approximate data mining in very large relational data
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KDD
2005
ACM
205views Data Mining» more  KDD 2005»
15 years 7 months ago
Feature bagging for outlier detection
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...
Aleksandar Lazarevic, Vipin Kumar
94
Voted
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 7 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
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, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
FIMI
2003
88views Data Mining» more  FIMI 2003»
15 years 3 months ago
A fast APRIORI implementation
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...
Ferenc Bodon
DEXA
2004
Springer
136views Database» more  DEXA 2004»
15 years 7 months ago
PC-Filter: A Robust Filtering Technique for Duplicate Record Detection in Large Databases
: 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...
VISUALIZATION
1998
IEEE
15 years 6 months ago
Large scale terrain visualization using the restricted quadtree triangulation
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...
Renato Pajarola