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ObjectID : Conference/349
SDM - SIAM International Conference on Data Mining
(Publications: 594) (Citation Count: 3,175) Year Range: 2000-2009
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Published Papers
Graph Generation with Prescribed Feature Constraints
- 2009
(Citations: 2)
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Xiaowei Ying, Xintao Wu
Abstract In this paper, we study the problem of how to generate synthetic graphs matching,various properties of a real social network,with two applications, privacy preserving social network publishing and significance testing of network analysis results. We present a sim- ple switching based graph generation approach,to generate graphs ...
Near-optimal Supervised Feature Selection among Frequent Subgraphs
- 2009
(Citations: 3)
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Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt
Abstract Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and anomaly detection in program flows. Among,the various approaches proposed in the liter- ature, graph classification based on frequent subgraphs is a popular branch: Graphs are ...
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation
- 2009
(Citations: 1)
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Yoshinobu Kawahara, Masashi Sugiyama
Abstract Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been actively discussed in the community,of statistics and data mining. In this paper, we present a novel non-parametric ...
Efficient Computation of Partial-Support for Mining Interesting Itemsets
- 2009
(Citations: 1)
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Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan
Exact Discovery of Time Series Motifs
- 2009
(Citations: 1)
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Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover
ABSTRACT Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each ,other. As with their discrete analogues in computational biology, this similarity hints at structure which,has been ,conserved ,for some ,reason ,and ,may therefore be of,interest. ...
Semi-supervised Learning by Sparse Representation
- 2009
(Citations: 1)
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Shuicheng Yan, Huan Wang
On Randomness Measures for Social Networks
- 2009
(Citations: 1)
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Xiaowei Ying, Xintao Wu
Abstract Social networks tend to contain some amount,of randomness and some,amount,of non-randomness.,The amount,of randomness,versus non-randomness,affects the properties of a social network. In this paper, we theoretically analyze graph randomness,and present a framework,which provides a series of non-randomness measures ...
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms
- 2009
(Citations: 1)
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Kamalika Das, Kanishka Bhaduri, Sugandha Arora, Wesley Griffin, Kirk D. Borne, Chris Giannella, Hillol Kargupta
Abstract This paper considers the problem,of change,detection using lo- cal distributed eigen monitoring,algorithms for next generation of astronomy,petascale data pipelines such as the Large Synop- tic Survey Telescopes (LSST). This telescope will take repeat im- ages of the night sky every 20 seconds, thereby generating 30 ...
Privacy Preservation in Social Networks with Sensitive Edge Weights
- 2009
(Citations: 1)
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Lian Liu, Jie Wang, Jinze Liu, Jun Zhang
Abstract With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network,analysis bring a risk of disclosure of confidential knowledge,when,the social network,data is shared or made,public. In addition to the current social network anonymity de-identification ...
Topic Evolution in a Stream of Documents
- 2009
(Citations: 1)
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Andrè Gohr, Alexander Hinneburg, Rene Schult, Myra Spiliopoulou
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