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SAC
2006
ACM
15 years 10 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
WWW
2008
ACM
16 years 5 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
ECIS
2001
15 years 5 months ago
Data Modelling Languages: An Ontological Study
There are many data modelling languages used in today's information systems engineering environment. Some of the data modelling languages used have a degree of hype surroundi...
Simon K. Milton, Edmund Kazmierczak, Chris Keen
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
15 years 9 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi