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» Techniques of Cluster Algorithms in Data Mining
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CVPR
2009
IEEE
16 years 9 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li
KDD
2007
ACM
153views Data Mining» more  KDD 2007»
16 years 2 months ago
Exploiting duality in summarization with deterministic guarantees
Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic q...
Panagiotis Karras, Dimitris Sacharidis, Nikos Mamo...
JSS
2007
67views more  JSS 2007»
15 years 1 months ago
TFRP: An efficient microaggregation algorithm for statistical disclosure control
Recently, the issue of Statistic Disclosure Control (SDC) has attracted much attention. SDC is a very important part of data security dealing with the protection of databases. Micr...
Chin-Chen Chang, Yu-Chiang Li, Wen-Hung Huang
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
16 years 2 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
136
Voted
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 8 days ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang