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» Discovering Predictive Association Rules
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BMCBI
2008
141views more  BMCBI 2008»
13 years 7 months ago
The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation
Background: Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring ...
Chenggang Yu, Nela Zavaljevski, Valmik Desai, Seth...
APVIS
2009
13 years 8 months ago
Toward effective insight management in visual analytics systems
Although significant progress has been made toward effective insight discovery in visual sense making approaches, there is a lack of effective and efficient approaches to manage t...
Yang Chen, Jing Yang, William Ribarsky
EMNLP
2010
13 years 5 months ago
Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Jordan L. Boyd-Graber, Philip Resnik
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
13 years 11 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...