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» Cleaning disguised missing data: a heuristic approach
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PVLDB
2010
159views more  PVLDB 2010»
13 years 3 months ago
Explore or Exploit? Effective Strategies for Disambiguating Large Databases
Data ambiguity is inherent in applications such as data integration, location-based services, and sensor monitoring. In many situations, it is possible to “clean”, or remove, ...
Reynold Cheng, Eric Lo, Xuan Yang, Ming-Hay Luk, X...
IJDMMM
2008
124views more  IJDMMM 2008»
13 years 5 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...
IQIS
2005
ACM
13 years 11 months ago
Exploiting relationships for object consolidation
Researchers in the data mining area frequently have to spend significant portion of their time on preprocessing the data in order to apply their algorithms to real-world datasets...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
MOBIDE
2006
ACM
13 years 11 months ago
Towards correcting input data errors probabilistically using integrity constraints
Mobile and pervasive applications frequently rely on devices such as RFID antennas or sensors (light, temperature, motion) to provide them information about the physical world. Th...
Nodira Khoussainova, Magdalena Balazinska, Dan Suc...
JCIT
2008
94views more  JCIT 2008»
13 years 5 months ago
Finding Semantic Errors in the Rule-base of Production Systems, and Reasoning with Insufficient Input Data Petri-net-based Appro
Two simple but practical production systems are modeled using Petri Nets. Petri-net models are very useful in finding semantic errors like generalization error and missing conditi...
Hong-Youl Lee