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SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 3 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
NIPS
2003
15 years 8 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
EDBT
2004
ACM
234views Database» more  EDBT 2004»
16 years 6 months ago
A Condensation Approach to Privacy Preserving Data Mining
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
Charu C. Aggarwal, Philip S. Yu
CCR
2011
15 years 1 months ago
Measured impact of crooked traceroute
Data collected using traceroute-based algorithms underpins research into the Internet’s router-level topology, though it is possible to infer false links from this data. One sou...
Matthew J. Luckie, Amogh Dhamdhere, kc claffy, Dav...
RECOMB
2004
Springer
16 years 7 months ago
Perfect phylogeny and haplotype assignment
This paper is concerned with the reconstruction of perfect phylogenies from binary character data with missing values, and related problems of inferring complete haplotypes from h...
Eran Halperin, Richard M. Karp