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» On Monotone Data Mining Languages
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KDD
2001
ACM
149views Data Mining» more  KDD 2001»
14 years 8 months ago
Maximum entropy methods for biological sequence modeling
Many of the same modeling methods used in natural languages, speci cally Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, nat...
Eugen C. Buehler, Lyle H. Ungar
WSDM
2009
ACM
113views Data Mining» more  WSDM 2009»
14 years 2 months ago
Time Will Tell: Leveraging Temporal Expressions in IR
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
13 years 11 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
ECIR
2010
Springer
13 years 9 months ago
Extracting Multilingual Topics from Unaligned Comparable Corpora
Topic models have been studied extensively in the context of monolingual corpora. Though there are some attempts to mine topical structure from cross-lingual corpora, they require ...
Jagadeesh Jagarlamudi, Hal Daumé III
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
11 years 10 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...