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» Mining evolving data streams for frequent patterns
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PODS
2005
ACM
85views Database» more  PODS 2005»
15 years 10 months ago
Relative risk and odds ratio: a data mining perspective
We are often interested to test whether a given cause has a given effect. If we cannot specify the nature of the factors involved, such tests are called model-free studies. There ...
Haiquan Li, Jinyan Li, Limsoon Wong, Mengling Feng...
ASC
2008
14 years 10 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
WAIM
2009
Springer
15 years 2 months ago
Intervention Events Detection and Prediction in Data Streams
Abstract. Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of interve...
Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Y...
ICDE
2009
IEEE
290views Database» more  ICDE 2009»
15 years 11 months ago
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
Sayan Ranu, Ambuj K. Singh
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
15 years 10 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han