Spatio-temporal graph clustering algorithm based on attribute and structural similarity

[1]  Yong Zhang,et al.  Weighted Fuzzy Observer-Based Fault Detection Approach for Discrete-Time Nonlinear Systems via Piecewise-Fuzzy Lyapunov Functions , 2016, IEEE Transactions on Fuzzy Systems.

[2]  Hamid Reza Karimi,et al.  New approach to delay-dependent H∞ control for continuous-time Markovian jump systems with time-varying delay and deficient transition descriptions , 2015, J. Frankl. Inst..

[3]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[4]  M. Parimala,et al.  K-Neighbourhood Structural Similarity Approach for Spatial Clustering , 2015 .

[5]  Witold Pedrycz,et al.  Clustering Spatiotemporal Data: An Augmented Fuzzy C-Means , 2013, IEEE Transactions on Fuzzy Systems.

[6]  Vijayalakshmi Atluri,et al.  Random Walks to Identify Anomalous Free-Form Spatial Scan Windows , 2008, IEEE Transactions on Knowledge and Data Engineering.

[7]  Xiaowei Xu,et al.  SCAN: a structural clustering algorithm for networks , 2007, KDD '07.

[8]  Asanobu Kitamoto.  Spatio-Temporal Data Mining for Typhoon Image Collection , 2004, Journal of Intelligent Information Systems.

[9]  Raj Bhatnagar,et al.  Graph Clustering Using Mutual K-Nearest Neighbors , 2014, AMT.

[10]  Shashi Shekhar,et al.  Spatio-Temporal Sensor Graphs (STSG): A data model for the discovery of spatio-temporal patterns , 2009, Intell. Data Anal..

[11]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[12]  Michalis Vazirgiannis,et al.  Clustering and Community Detection in Directed Networks: A Survey , 2013, ArXiv.

[13]  Hong Cheng,et al.  Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities , 2011, TKDD.

[14]  Cun-Quan Zhang,et al.  A Multidimensional and Multimembership Clustering Method for Social Networks and Its Application in Customer Relationship Management , 2013 .

[15]  Srinivasan Parthasarathy,et al.  Efficient community detection in large networks using content and links , 2012, WWW.

[16]  Kanad Ghose,et al.  Detecting and Tracking Spatio-temporal Clusters with Adaptive History Filtering , 2008, 2008 IEEE International Conference on Data Mining Workshops.

[17]  Sio Iong Ao,et al.  Combining functional and linkage disequilibrium information in the selection of tag SNPs , 2007, Bioinform..

[18]  Nitesh V. Chawla,et al.  Multivariate and multiscale dependence in the global climate system revealed through complex networks , 2012, Climate Dynamics.

[19]  Anton J. Enright,et al.  An efficient algorithm for large-scale detection of protein families. , 2002, Nucleic acids research.

[20]  M. Parimala,et al.  A Novel Graph Clustering Algorithm Based on Structural Attribute Neighborhood Similarity (SANS) , 2016 .

[21]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[22]  P. Moran.  The Interpretation of Statistical Maps , 1948 .

[23]  Gary D. Bader,et al.  An automated method for finding molecular complexes in large protein interaction networks , 2003, BMC Bioinformatics.

[24]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  Yan Huang,et al.  A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets , 2008, IEEE Transactions on Knowledge and Data Engineering.

[26]  Charu C. Aggarwal,et al.  A Survey of Clustering Algorithms for Graph Data , 2010, Managing and Mining Graph Data.

[27]  R. Geary,et al.  The Contiguity Ratio and Statistical Mapping , 1954 .

[28]  Shashi Shekhar,et al.  Time-Aggregated Graphs for Modeling Spatio-temporal Networks , 2006, J. Data Semant..

[29]  Paul Van Dooren,et al.  A MEASURE OF SIMILARITY BETWEEN GRAPH VERTICES . WITH APPLICATIONS TO SYNONYM EXTRACTION AND WEB SEARCHING , 2002 .

[30]  Derya Birant,et al.  ST-DBSCAN: An algorithm for clustering spatial-temporal data , 2007, Data Knowl. Eng..

[31]  Fan Lin,et al.  A Novel Spatio-temporal Clustering Approach by Process Similarity , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

[32]  Pasi Fränti,et al.  Fast PNN-based clustering using k-nearest neighbor graph , 2003, Third IEEE International Conference on Data Mining.

[33]  Zhang Huijuan,et al.  A Graph Clustering algorithm based on shared neighbors and connectivity , 2013, 2013 8th International Conference on Computer Science & Education.

[34]  A. Jaya,et al.  Natural Language to SQL Generation for Semantic Knowledge Extraction in Social Web Sources , 2015 .

[35]  George C. Verghese,et al.  Graph similarity scoring and matching , 2008, Appl. Math. Lett..

[36]  Yasuhiro Fujiwara,et al.  Fast Algorithm for Modularity-Based Graph Clustering , 2013, AAAI.

[37]  Hamid Reza Karimi,et al.  model reduction for continuous-time Markovian jump systems with incomplete statistics of mode information , 2014, Int. J. Syst. Sci..

[38]  Young-Koo Lee,et al.  Collaborative Similarity Measure for Intra Graph Clustering , 2012, DASFAA Workshops.

[39]  Srinivasan Parthasarathy,et al.  An ensemble framework for clustering protein-protein interaction networks , 2007, ISMB/ECCB.

[40]  Aryya Gangopadhyay,et al.  Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets , 2013, Data Mining and Knowledge Discovery.

[41]  Alfred O. Hero,et al.  Graph based k-means clustering , 2012, Signal Process..

[42]  Srinivasan Parthasarathy,et al.  A generalized framework for mining spatio-temporal patterns in scientific data , 2005, KDD '05.

[43]  Anna-Lan Huang,et al.  Similarity Measures for Text Document Clustering , 2008 .

[44]  Ulrik Brandes,et al.  On Modularity Clustering , 2008, IEEE Transactions on Knowledge and Data Engineering.

[45]  Hamid Reza Karimi,et al.  Filtering design for two-dimensional Markovian jump systems with state-delays and deficient mode information , 2014, Inf. Sci..

[46]  L. Anselin.  Local Indicators of Spatial Association—LISA , 2010 .

[47]  M. Parimala,et al.  A Survey on Density Based Clustering Algorithms for Mining Large Spatial Databases , 2011 .

[48]  Douglas B. Kell,et al.  Computational cluster validation in post-genomic data analysis , 2005, Bioinform..

[49]  Aryya Gangopadhyay,et al.  Spatiotemporal Neighborhood Discovery for Sensor Data , 2008, KDD Workshop on Knowledge Discovery from Sensor Data.

[50]  Srinivasan Parthasarathy,et al.  Scalable graph clustering using stochastic flows: applications to community discovery , 2009, KDD.