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SIGMOD
2008
ACM
167views Database» more  SIGMOD 2008»
16 years 4 months ago
DiMaC: a system for cleaning disguised missing data
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 4 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
BMCBI
2010
144views more  BMCBI 2010»
15 years 4 months ago
Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data
Background: The investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuc...
Petr Novák, Pavel Neumann, Jirí Maca...
BMCBI
2008
169views more  BMCBI 2008»
15 years 4 months ago
MausDB: An open source application for phenotype data and mouse colony management in large-scale mouse phenotyping projects
Background: Large-scale, comprehensive and standardized high-throughput mouse phenotyping has been established as a tool of functional genome research by the German Mouse Clinic a...
Holger Maier, Christoph Lengger, Bruno Simic, Helm...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 4 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri