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» OLAP Over Uncertain and Imprecise Data
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VLDB
2005
ACM
140views Database» more  VLDB 2005»
13 years 10 months ago
OLAP Over Uncertain and Imprecise Data
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation qu...
Douglas Burdick, Prasad Deshpande, T. S. Jayram, R...
VLDB
2007
ACM
143views Database» more  VLDB 2007»
14 years 5 months ago
OLAP over Imprecise Data with Domain Constraints
Several recent papers have focused on OLAP over imprecise data, where each fact can be a region, instead of a point, in a multidimensional space. They have provided a multiple-wor...
Douglas Burdick, AnHai Doan, Raghu Ramakrishnan, S...
SIGMOD
2008
ACM
113views Database» more  SIGMOD 2008»
13 years 4 months ago
Supporting OLAP operations over imperfectly integrated taxonomies
OLAP is an important tool in decision support. With the help of domain knowledge, such as hierarchies of attribute values, OLAP helps the user observe the effects of various decis...
Yan Qi 0002, K. Selçuk Candan, Jun'ichi Tat...
IS
2007
13 years 4 months ago
Evaluation of probabilistic queries over imprecise data in constantly-evolving environments
Sensors are often employed to monitor continuously changing entities like locations of moving objects and temperature. The sensor readings are reported to a database system, and a...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
14 years 6 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou