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PARMA
2004
174views Database» more  PARMA 2004»
15 years 8 months ago
Finding Spatial Patterns in Network Data
Data on modern networks are massive and are applied in the area of monitoring and analyzing activities at the network element, network-wide, and customer and service levels for a h...
Roland Heilmann, Daniel A. Keim, Christian Panse, ...
CTW
2002
91views more  CTW 2002»
15 years 6 months ago
Can We Ever Escape from Data Overload? A Cognitive Systems Diagnosis
ive. This characterization leads to model-based abstractions and representation design techniques as potential solutions. Many of the existing approaches to coping with data overlo...
David D. Woods, Emily S. Patterson, Emilie M. Roth
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
16 years 8 months ago
Warehousing and Analyzing Massive RFID Data Sets
Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and supply chain management systems. In the near future, it is expected tha...
Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Kla...
ICDE
2006
IEEE
204views Database» more  ICDE 2006»
16 years 8 months ago
Working Models for Uncertain Data
This paper explores an inherent tension in modeling and querying uncertain data: simple, intuitive representations of uncertain data capture many application requirements, but the...
Anish Das Sarma, Omar Benjelloun, Alon Y. Halevy, ...
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 7 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald