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» Language-Derived Information and Context Models
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BMCBI
2008
93views more  BMCBI 2008»
15 years 4 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
JCDL
2004
ACM
181views Education» more  JCDL 2004»
15 years 10 months ago
The 3D vase museum: a new approach to context in a digital library
We present a new approach to displaying and browsing a digital library collection, a set of Greek vases in the Perseus digital library. Our design takes advantage of three-dimensi...
Horn-yeu Shiaw, Robert J. K. Jacob, Gregory R. Cra...
SIGIR
2011
ACM
14 years 7 months ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...
KDD
2006
ACM
139views Data Mining» more  KDD 2006»
16 years 5 months ago
Generating semantic annotations for frequent patterns with context analysis
As a fundamental data mining task, frequent pattern mining has widespread applications in many different domains. Research in frequent pattern mining has so far mostly focused on ...
Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Che...
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KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 5 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai