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KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 7 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 7 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
16 years 7 months ago
Probabilistic discovery of time series motifs
Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...
STOC
2003
ACM
142views Algorithms» more  STOC 2003»
16 years 6 months ago
Optimal probabilistic fingerprint codes
We construct binary codes for fingerprinting. Our codes for n users that are -secure against c pirates have length O(c2 log(n/ )). This improves the codes proposed by Boneh and Sh...
Gábor Tardos
SIGMOD
2005
ACM
100views Database» more  SIGMOD 2005»
16 years 6 months ago
A Disk-Based Join With Probabilistic Guarantees
One of the most common operations in analytic query processing is the application of an aggregate function to the result of a relational join. We describe an algorithm for computi...
Chris Jermaine, Alin Dobra, Subramanian Arumugam, ...