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86
Voted
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 1 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 1 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 1 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
121
Voted
MOBIHOC
2009
ACM
16 years 1 months ago
Spectrum auction framework for access allocation in cognitive radio networks
Cognitive radio networks are emerging as a promising technology for the efficient use of radio spectrum. In these networks, there are two categories of networks on different chann...
Gaurav S. Kasbekar, Saswati Sarkar
108
Voted
MOBIHOC
2009
ACM
16 years 1 months ago
Optimal monitoring in multi-channel multi-radio wireless mesh networks
Wireless mesh networks (WMN) are finding increasing usage in city-wide deployments for providing network connectivity. Mesh routers in WMNs typically use multiple wireless channel...
Dong-Hoon Shin, Saurabh Bagchi