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ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 2 months ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...
ICDM
2006
IEEE
227views Data Mining» more  ICDM 2006»
14 years 2 months ago
Incremental Mining of Sequential Patterns over a Stream Sliding Window
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
Chin-Chuan Ho, Hua-Fu Li, Fang-Fei Kuo, Suh-Yin Le...
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
14 years 2 months ago
A mining method of communities keeping tacit knowledge
The research community plays a very important role in holding valuable scientific knowledge. The authors propose a community mining system which helps to find communities of res...
Ryutaro Ichise, Hideaki Takeda, Satoshi Kouno, Tai...
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
14 years 2 months ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh
ICDM
2006
IEEE
118views Data Mining» more  ICDM 2006»
14 years 2 months ago
Generalizing Version Space Support Vector Machines for Non-Separable Data
Although version space support vector machines (VSSVMs) are a successful approach to reliable classification [6], they are restricted to separable data. This paper proposes gener...
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Ni...
ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
14 years 2 months ago
Fast Frequent Free Tree Mining in Graph Databases
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
Peixiang Zhao, Jeffrey Xu Yu
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 2 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
ICDM
2006
IEEE
154views Data Mining» more  ICDM 2006»
14 years 2 months ago
Mining and Predicting Duplication over Peer-to-Peer Query Streams
Many previous works of data mining user queries in Peer-to-Peer systems focused their attention on the distribution of query contents. However, few has been done towards a better ...
Shicong Meng, Yifeng Shao, Cong Shi, Dingyi Han, Y...
ICDM
2006
IEEE
173views Data Mining» more  ICDM 2006»
14 years 2 months ago
Trajectory Analysis for Soccer Players
In order to make good strategies, soccer coaches analyze the archives of matches, which can be effectively considered as a set of trajectories. We can extract several useful infor...
Chan-Hyun Kang, Jung-Rae Hwang, Ki-Joune Li
ICDM
2006
IEEE
140views Data Mining» more  ICDM 2006»
14 years 2 months ago
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahe...
Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Mak...