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» Application of Neural Networks in Financial Data Mining
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112
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ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 7 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
95
Voted
ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
15 years 6 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
128
Voted
ISCIS
2005
Springer
15 years 6 months ago
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S....
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
15 years 5 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
104
Voted
IEEECIT
2010
IEEE
14 years 11 months ago
Term Weighting Approaches for Mining Significant Locations from Personal Location Logs
In this paper, we describe experiments into the application of term weighting techniques from text retrieval to support the automatic identification of significant locations from ...
Zhengwei Qiu, Cathal Gurrin, Aiden R. Doherty, Ala...