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» Warehousing and Analyzing Massive RFID Data Sets
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SIGMOD
2010
ACM
321views Database» more  SIGMOD 2010»
13 years 9 months ago
HadoopDB in action: building real world applications
HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work ha...
Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Hua...
SDM
2012
SIAM
208views Data Mining» more  SDM 2012»
11 years 7 months ago
Mining Massive Archives of Mice Sounds with Symbolized Representations
Many animals produce long sequences of vocalizations best described as “songs.” In some animals, such as crickets and frogs, these songs are relatively simple and repetitive c...
Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, K...
VLDB
2004
ACM
126views Database» more  VLDB 2004»
13 years 10 months ago
Database Challenges in the Integration of Biomedical Data Sets
The clinical and basic science research domains present exciting and difficult data integration issues. Solving these problems is crucial as current research efforts in the field ...
Rakesh Nagarajan, Mushtaq Ahmed, Aditya Phatak
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
13 years 2 months ago
Analyzing Abnormal Events from Spatio-temporal Trajectories
Advances in RFID based sensor technologies has been used in applications which requires the tracking of assets, products and individuals. The recording of such movements is capture...
Dhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong-Li L...
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
14 years 5 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...