Knowledge Discovery for Sensor Network Comprehension

[1]  João Gama,et al.  Requirements for Clustering Streaming Sensors , 2008 .

[2]  João Gama,et al.  Clustering Distributed Sensor Data Streams , 2008, ECML/PKDD.

[3]  João Gama,et al.  A Simple Dense Pixel Visualization for Mobile Sensor Data Mining , 2008, KDD Workshop on Knowledge Discovery from Sensor Data.

[4]  João Gama,et al.  Hierarchical Clustering of Time-Series Data Streams , 2008, IEEE Transactions on Knowledge and Data Engineering.

[5]  João Gama,et al.  Stream-Based Electricity Load Forecast , 2007, PKDD.

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

[7]  Haifeng Li,et al.  A Context Aware Automatic Traffic Notification System for Cell Phones , 2007, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07).

[8]  Aoying Zhou,et al.  Distributed Data Stream Clustering: A Fast EM-based Approach , 2007, 2007 IEEE 23rd International Conference on Data Engineering.

[9]  Graham Cormode,et al.  Conquering the Divide: Continuous Clustering of Distributed Data Streams , 2007, 2007 IEEE 23rd International Conference on Data Engineering.

[10]  Cyrus Shahabi,et al.  The Clustered AGgregation (CAG) technique leveraging spatial and temporal correlations in wireless sensor networks , 2007, TOSN.

[11]  João Gama,et al.  Data Stream Processing , 2007 .

[12]  João Gama,et al.  Clustering Techniques in Sensor Networks , 2007 .

[13]  Ming-Syan Chen,et al.  Adaptive Clustering for Multiple Evolving Streams , 2006, IEEE Transactions on Knowledge and Data Engineering.

[14]  Deepayan Chakrabarti,et al.  Evolutionary clustering , 2006, KDD '06.

[15]  Myra Spiliopoulou,et al.  MONIC: modeling and monitoring cluster transitions , 2006, KDD '06.

[16]  J. Sauvola,et al.  Towards Advanced Modeling Techniques for Wireless Sensor Networks , 2006, 2006 First International Symposium on Pervasive Computing and Applications.

[17]  Eyke Hüllermeier,et al.  Online clustering of parallel data streams , 2006, Data Knowl. Eng..

[18]  Ran Wolff,et al.  Distributed Data Mining in Peer-to-Peer Networks , 2006, IEEE Internet Computing.

[19]  João Gama,et al.  Decision trees for mining data streams , 2006, Intell. Data Anal..

[20]  Adrian Perrig,et al.  Using Clustering Information for Sensor Network Localization , 2005, DCOSS.

[21]  M. Moy,et al.  Using hierarchical clustering methods to classify motor activities of COPD patients from wearable sensor data , 2005, Journal of NeuroEngineering and Rehabilitation.

[22]  Maribel Yasmina Santos,et al.  Enhancing a User Context by Real-Time Clustering Mobile Trajectories , 2005 .

[23]  David J. Hand,et al.  Intelligent Data Analysis: An Introduction , 2005 .

[24]  Jesús S. Aguilar-Ruiz,et al.  Incremental Rule Learning and Border Examples Selection from Numerical Data Streams , 2005, J. Univers. Comput. Sci..

[25]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[26]  João Gama,et al.  Learning with Drift Detection , 2004, SBIA.

[27]  Hans Mulder,et al.  Smart sensors to network the world. , 2004, Scientific American.

[28]  Won Suk Lee,et al.  Statistical grid-based clustering over data streams , 2004, SGMD.

[29]  Michalis Vazirgiannis,et al.  On Clustering Validation Techniques , 2001, Journal of Intelligent Information Systems.

[30]  Philip S. Yu,et al.  A Framework for Clustering Evolving Data Streams , 2003, VLDB.

[31]  Matthias Klusch,et al.  Distributed Clustering Based on Sampling Local Density Estimates , 2003, IJCAI.

[32]  Sudipto Guha,et al.  Clustering Data Streams: Theory and Practice , 2003, IEEE Trans. Knowl. Data Eng..

[33]  Sudipto Guha,et al.  Streaming-data algorithms for high-quality clustering , 2002, Proceedings 18th International Conference on Data Engineering.

[34]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[35]  Daniel Barbará,et al.  Requirements for clustering data streams , 2002, SKDD.

[36]  Hillol Kargupta,et al.  Distributed Clustering Using Collective Principal Component Analysis , 2001, Knowledge and Information Systems.

[37]  Geoff Hulten,et al.  Mining time-changing data streams , 2001, KDD '01.

[38]  Geoff Hulten,et al.  A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering , 2001, ICML.

[39]  Ping Chen,et al.  Using the fractal dimension to cluster datasets , 2000, KDD '00.

[40]  Paul S. Bradley,et al.  Scaling Clustering Algorithms to Large Databases , 1998, KDD.

[41]  Dimitrios Gunopulos,et al.  Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.

[42]  Sudipto Guha,et al.  CURE: an efficient clustering algorithm for large databases , 1998, SIGMOD '98.

[43]  Jiong Yang,et al.  STING: A Statistical Information Grid Approach to Spatial Data Mining , 1997, VLDB.

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

[45]  D. Eppstein,et al.  Approximation algorithms for geometric problems , 1996 .

[46]  Tian Zhang,et al.  BIRCH: an efficient data clustering method for very large databases , 1996, SIGMOD '96.

[47]  Teofilo F. GONZALEZ,et al.  Clustering to Minimize the Maximum Intercluster Distance , 1985, Theor. Comput. Sci..

[48]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[49]  W. Hoeffding Probability inequalities for sum of bounded random variables , 1963 .