Discovering flood rising pattern in hydrological time series data mining during the pre monsoon period

Satanand Mishra, C Saravanan, V K Dwivedi & K K Pathak IT & Water Resource Management Group, CSIR-Advanced Material Process &Research Institute, Bhopal462064, India Computer Centre, National Institute of Technology, Durgapur-713209, India Dept of Civil Engineering, National Institute of Technology, Durgapur-713209, India. Dept of Civil and Environmental Engineering, NITTTR, Bhopal462002, India *[E-mail: snmishra07@gmail.com]

[1]  Ankita Agarwal.  Research of data mining based on neural networks , 2012 .

[2]  Puteh Saad,et al.  River flow time series using least squares support vector machines , 2011 .

[3]  Paul S. Bradley,et al.  Refining Initial Points for K-Means Clustering , 1998, ICML.

[4]  D.M. Mount,et al.  An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  T. Warren Liao,et al.  Clustering of time series data - a survey , 2005, Pattern Recognit..

[6]  Chenghu Zhou,et al.  Similarity search and pattern discovery in hydrological time series data mining , 2010 .

[7]  Sansanee Auephanwiriyakul,et al.  Runoff forecasting using fuzzy support vector regression , 2009, 2008 International Symposium on Intelligent Signal Processing and Communications Systems.

[8]  Toni Giorgino,et al.  Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package , 2009 .

[9]  Christos Faloutsos,et al.  Efficient Similarity Search In Sequence Databases , 1993, FODO.

[10]  Clu-istos Foutsos,et al.  Fast subsequence matching in time-series databases , 1994, SIGMOD '94.

[11]  Mehmet Karakose,et al.  The Prediction Algorithm Based on Fuzzy Logic Using Time Series Data Mining Method , 2009 .

[12]  Zhu Yuelong,et al.  A hybrid Forecasting Model of Discharges based on Support Vector Machine , 2012 .

[13]  Boris G. Mirkin,et al.  Core Concepts in Data Analysis: Summarization, Correlation and Visualization , 2011, Undergraduate Topics in Computer Science.

[14]  Michalis Vazirgiannis,et al.  c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. On Clustering Validation Techniques , 2022 .

[15]  K. K. Pathak,et al.  Pattern Discovery in Hydrological Time Series Data Mining during the Monsoon Period of the High Flood Years in Brahmaputra River Basin , 2013 .

[16]  Weilin Liu,et al.  Neural network model for hydrological forecasting based on multivariate phase space reconstruction , 2011, 2011 Seventh International Conference on Natural Computation.

[17]  K.A. Peker.  Subsequence time series (STS) clustering techniques for meaningful pattern discovery , 2005, International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005..

[18]  Guoquan Jiang,et al.  The Research of Data Mining Based on Neural Networks , .

[19]  Kwok-Wing Chau,et al.  Data-driven models for monthly streamflow time series prediction , 2010, Eng. Appl. Artif. Intell..