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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
14 years 3 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
14 years 2 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 10 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
ICCS
2000
Springer
14 years 14 days ago
Conceptual Knowledge Discovery and Data Analysis
In this paper, we discuss Conceptual Knowledge Discovery in Databases (CKDD) in its connection with Data Analysis. Our approach is based on Formal Concept Analysis, a mathematical ...
Joachim Hereth Correia, Gerd Stumme, Rudolf Wille,...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 2 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...