Monitoring Incremental Histogram Distribution for Change Detection in Data Streams
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João Gama | Pedro Pereira Rodrigues | João Bernardes | Raquel Sebastião | João Gama | J. Bernardes | P. Rodrigues | Raquel Sebastião
[1] Sudipto Guha,et al. Approximating a data stream for querying and estimation: algorithms and performance evaluation , 2002, Proceedings 18th International Conference on Data Engineering.
[2] Sudipto Guha,et al. Approximation and streaming algorithms for histogram construction problems , 2006, TODS.
[3] Gerhard Widmer,et al. Learning in the Presence of Concept Drift and Hidden Contexts , 1996, Machine Learning.
[4] Graham Cormode,et al. Sketching probabilistic data streams , 2007, SIGMOD '07.
[5] João Gama,et al. Learning with Drift Detection , 2004, SBIA.
[6] Diogo Ayres-de-Campos,et al. Omniview-SisPorto 3.5 - a central fetal monitoring station with online alerts based on computerized cardiotocogram+ST event analysis. , 2008, Journal of perinatal medicine.
[7] Sudipto Guha,et al. Wavelet synopsis for data streams: minimizing non-euclidean error , 2005, KDD '05.
[8] André Carlos Ponce de Leon Ferreira de Carvalho,et al. OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams , 2007, SAC '07.
[9] D. Ayres-de- Campos,et al. SisPorto 2.0: a program for automated analysis of cardiotocograms. , 2000, The Journal of maternal-fetal medicine.
[10] Alessandra Russo,et al. Advances in Artificial Intelligence – SBIA 2004 , 2004, Lecture Notes in Computer Science.
[11] Ingrid Renz,et al. Adaptive Information Filtering: Learning in the Presence of Concept Drifts , 1998 .
[12] Dimitris Sacharidis,et al. Exploiting duality in summarization with deterministic guarantees , 2007, KDD '07.
[13] Shai Ben-David,et al. Detecting Change in Data Streams , 2004, VLDB.
[14] Sudipto Guha,et al. REHIST: Relative Error Histogram Construction Algorithms , 2004, VLDB.
[15] David J. Hand,et al. Intelligent Data Analysis: An Introduction , 2005 .
[16] Ralf Klinkenberg,et al. Learning drifting concepts: Example selection vs. example weighting , 2004, Intell. Data Anal..
[17] Torsten Suel,et al. Optimal Histograms with Quality Guarantees , 1998, VLDB.
[18] S. Venkatasubramanian,et al. An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams , 2006 .
[19] Thorsten Joachims,et al. Detecting Concept Drift with Support Vector Machines , 2000, ICML.
[20] Ryszard S. Michalski,et al. Selecting Examples for Partial Memory Learning , 2000, Machine Learning.
[21] João Gama,et al. Discretization from data streams: applications to histograms and data mining , 2006, SAC.
[22] Ana Paula Rocha,et al. Linear and nonlinear analysis of heart rate patterns associated with fetal behavioral states in the antepartum period. , 2007, Early human development.
[23] Jean-Yves Tourneret,et al. Optimal wavelet for abrupt change detection in multiplicative noise , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[24] Daniel Barbará,et al. Requirements for clustering data streams , 2002, SKDD.
[25] João Gama,et al. Incremental discretization, application to data with concept drift , 2007, SAC '07.
[26] Geoff Hulten,et al. Mining time-changing data streams , 2001, KDD '01.
[27] João Gama,et al. Change Detection in Learning Histograms from Data Streams , 2007, EPIA Workshops.