Approaches of Handling Uncertain Time Series Data towards Prediction

[1]  Wang Wei,et al.  Similarity Matching for Uncertain Time Series , 2014 .

[2]  Wolfgang Lehner,et al.  Clustering Uncertain Data with Possible Worlds , 2009, 2009 IEEE 25th International Conference on Data Engineering.

[3]  Sunil Prabhakar,et al.  Evaluation of probabilistic queries over imprecise data in constantly-evolving environments , 2007, Inf. Syst..

[4]  Osmar R. Zaïane,et al.  An Associative Classifier for Uncertain Datasets , 2012, PAKDD.

[5]  S. Lykoudis,et al.  Spatially interpolated time series of δ18Ο in Eastern Mediterranean precipitation , 2010 .

[6]  Sumit Sarkar,et al.  Generalized Normal Forms for Probabilistic Relational Data , 2002, IEEE Trans. Knowl. Data Eng..

[7]  Thomas Reichler,et al.  On the Effective Number of Climate Models , 2011 .

[8]  Philip S. Yu,et al.  Mining Data Streams , 2005, The Data Mining and Knowledge Discovery Handbook.

[9]  Florian Pappenberger,et al.  Ensemble flood forecasting: a review. , 2009 .

[10]  Katsiaryna Mirylenka,et al.  Uncertain Time-Series Similarity: Return to the Basics , 2012, Proc. VLDB Endow..

[11]  Hans-Peter Kriegel,et al.  Hierarchical density-based clustering of uncertain data , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

[12]  J. Hargreaves.  Skill and uncertainty in climate models , 2010 .

[13]  Wei Wang,et al.  Similarity Matching over Uncertain Time Series , 2011, 2011 Seventh International Conference on Computational Intelligence and Security.

[14]  Katsiaryna Mirylenka,et al.  Similarity matching for uncertain time series: analytical and experimental comparison , 2011, QUeST '11.

[15]  M. Webb,et al.  Quantification of modelling uncertainties in a large ensemble of climate change simulations , 2004, Nature.

[16]  Karen Andrews,et al.  Managing A Digitization Project: Issues For State Agency Publications With Folded Maps , 2010 .

[17]  Li Haitao,et al.  Precipitation Time Series Predicting of the Chaotic Characters Using Support Vector Machines , 2009, 2009 International Conference on Information Management, Innovation Management and Industrial Engineering.

[18]  V. Jankovic,et al.  Science Migrations , 2004 .

[19]  Hans-Peter Kriegel,et al.  Probabilistic Similarity Search for Uncertain Time Series , 2009, SSDBM.

[20]  Aoying Zhou,et al.  Efficient clustering of uncertain data streams , 2013, Knowledge and Information Systems.

[21]  Azuraliza Abu Bakar,et al.  Uncertain Time Series in Weather Prediction , 2013 .

[22]  Joann J. Ordille,et al.  Data integration: the teenage years , 2006, VLDB.

[23]  Ming Xue,et al.  Machine learning enhancement of Storm Scale Ensemble precipitation forecasts , 2012, CIDU.

[24]  Maurice van Keulen,et al.  Report on the First VLDB Workshop on Management of Uncertain Data (MUD) , 2007, SGMD.

[25]  E. Hawkins,et al.  The Potential to Narrow Uncertainty in Regional Climate Predictions , 2009 .

[26]  Hans-Peter Kriegel,et al.  Density-based clustering of uncertain data , 2005, KDD '05.

[27]  Eyke Hüllermeier,et al.  Uncertainty in Clustering and Classification , 2010, SUM.

[28]  Zhang Kun,et al.  Research on Precipitation Prediction Based on Time Series Model , 2012, 2012 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring.

[29]  Azuraliza Abu Bakar,et al.  Analysis of Uncertainty in Time Series Data: Issues and Challenges , 2015 .

[30]  Bin Jiang,et al.  Clustering Uncertain Data Based on Probability Distribution Similarity , 2013, IEEE Transactions on Knowledge and Data Engineering.

[31]  Shonali Krishnaswamy,et al.  Mining data streams: a review , 2005, SGMD.

[32]  Stephen Hayne,et al.  Multi-user view integration system (MUVIS): an expert system for view integration , 1990, [1990] Proceedings. Sixth International Conference on Data Engineering.

[33]  Laszlo Fuchs,et al.  A low-dissipative, scale-selective discretization scheme for the Navier–Stokes equations , 2012 .