A Review of Density-Based clustering in Spatial Data

Data mining is a non-trivial process. That is identifying novel, valid and potentially useful patterns in data. Data mining supports automatic data exploration. That is extracting hidden information from the huge database. Data mining refers to search useful and relevant information from the database. Spatial mining is a branch of data mining. The spatial mining deals with the location or geo-referenced data. Spatial mining are based on the density based clustering. Density is covered area of any

[1]  Jing Gao,et al.  An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection , 2005, PAKDD.

[2]  Jiadong Ren,et al.  Clustering over Data Streams Based on Grid Density and Index Tree , 2011 .

[3]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[4]  Chen Jia,et al.  A Grid and Density-Based Clustering Algorithm for Processing Data Stream , 2008, 2008 Second International Conference on Genetic and Evolutionary Computing.

[5]  Li Tu,et al.  Density-based clustering for real-time stream data , 2007, KDD '07.

[6]  Kamissoko Daouda,et al.  Infrastructure Network Vulnerability , 2011, 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[7]  Li Tu,et al.  Stream data clustering based on grid density and attraction , 2009, TKDD.

[8]  Ying Wah Teh,et al.  A study of density-grid based clustering algorithms on data streams , 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[9]  M. Tahar Kechadi,et al.  Efficient Distributed Approach for Density-Based Clustering , 2011, 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[10]  Willie Ng,et al.  Discovery of Frequent Patterns in Transactional Data Streams , 2010, Trans. Large Scale Data Knowl. Centered Syst..

[11]  Margaret H. Dunham,et al.  Data Mining: Introductory and Advanced Topics , 2002 .

[12]  Aoying Zhou,et al.  Tracking clusters in evolving data streams over sliding windows , 2008, Knowledge and Information Systems.