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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
10 years 6 months ago
Structure and Dynamics of Research Collaboration in Computer Science.
Complex systems exhibit emergent patterns of behavior at different levels of organization. Powerful network analysis methods, developed in physics and social sciences, have been s...
Andre Nash, Christian Bird, Earl T. Barr, Premkuma...
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
10 years 6 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao
SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
10 years 6 months ago
FuncICA for Time Series Pattern Discovery.
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
Alexander Gray, Nishant Mehta
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
10 years 6 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
10 years 6 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
10 years 6 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
10 years 6 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
SDM
2009
SIAM
124views Data Mining» more  SDM 2009»
10 years 6 months ago
Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distribu...
Ali Dasdan, Paolo D'Alberto
SDM
2009
SIAM
104views Data Mining» more  SDM 2009»
10 years 6 months ago
On Randomness Measures for Social Networks.
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 netw...
Xiaowei Ying, Xintao Wu
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