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» Mining data streams with periodically changing distributions
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WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 4 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
KDD
2006
ACM
177views Data Mining» more  KDD 2006»
14 years 9 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
14 years 3 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof
IJBIDM
2010
111views more  IJBIDM 2010»
13 years 7 months ago
Context-aware taxi demand hotspots prediction
: In an urban area, the demand for taxis is not always matched up with the supply. This paper proposes mining historical data to predict demand distributions with respect to contex...
Han-Wen Chang, Yu-chin Tai, Jane Yung-jen Hsu
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
14 years 9 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi