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ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 9 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
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
15 years 9 months ago
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
Hua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun ...
117
Voted
SIBGRAPI
2008
IEEE
15 years 9 months ago
A New Training Algorithm for Pattern Recognition Technique Based on Straight Line Segments
Recently, a new Pattern Recognition technique based on straight line segments (SLSs) was presented. The key issue in this new technique is to find a function based on distances b...
João Henrique Burckas Ribeiro, Ronaldo Fumi...
174
Voted
FLAIRS
2007
15 years 5 months ago
Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging
Traditional supervised classification algorithms require a large number of labelled examples to perform accurately. Semi-supervised classification algorithms attempt to overcome t...
Jason Chan, Josiah Poon, Irena Koprinska
169
Voted
BIOCOMP
2010
15 years 1 months ago
Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm
- The activities and function of proteins can potentially be determined by protein sequence motifs. Therefore, obtaining the universally conserved and crossed protein family bounda...
Vincent Yip, Bernard Chen, Sinan Kockara