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» Evolving Fuzzy-Rule-Based Classifiers From Data Streams
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SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
13 years 8 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
CEC
2007
IEEE
13 years 11 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
FLAIRS
2000
13 years 8 months ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar
SAC
2005
ACM
14 years 28 days ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
PADL
2012
Springer
12 years 2 months ago
LearnPADS + + : Incremental Inference of Ad Hoc Data Formats
An ad hoc data source is any semi-structured, non-standard data source. The format of such data sources is often evolving and frequently lacking documentation. Consequently, off-t...
Kenny Qili Zhu, Kathleen Fisher, David Walker