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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 6 months ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella
178
Voted
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 6 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
SDM
2011
SIAM
284views Data Mining» more  SDM 2011»
14 years 6 months ago
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks
While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomp...
Myunghwan Kim 0002, Jure Leskovec
142
Voted
ICCV
2011
IEEE
14 years 4 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
307
Voted
FSKD
2011
Springer
279views Fuzzy Logic» more  FSKD 2011»
14 years 3 months ago
Modelling the seasonal climate variability and its effects on vintage wines from Marlborough, NZ
— The paper presents some interim results from an ongoing research on the application of data/text mining methodologies being investigated to modelling the seasonal climate varia...
Subana Shanmuganathan, Ana Perez Kuroki, Ajit Nara...
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