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CIDM
2009
IEEE
14 years 13 days ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
ICDCS
2007
IEEE
14 years 2 months ago
STEP: Sequentiality and Thrashing Detection Based Prefetching to Improve Performance of Networked Storage Servers
State-of-the-art networked storage servers are equipped with increasingly powerful computing capability and large DRAM memory as storage caches. However, their contribution to the...
Shuang Liang, Song Jiang, Xiaodong Zhang
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
14 years 9 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 9 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
ICMCS
2006
IEEE
137views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Online Mining of Recent Music Query Streams
Mining multimedia data is one of the most important issues in data mining. In this paper, we propose an online one-pass algorithm to mine the set of frequent temporal patterns in ...
Hua-Fu Li, Chin-Chuan Ho, Man-Kwan Shan, Suh-Yin L...