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» Issues in Developing Very Large Data Warehouses
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ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
14 years 9 months ago
iSAX 2.0: Indexing and Mining One Billion Time Series
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...
Alessandro Camerra, Themis Palpanas, Jin Shieh, Ea...
SEMCO
2007
IEEE
15 years 6 months ago
Intelligent Parsing of Scanned Volumes for Web Based Archives
The proliferation of digital libraries and the large amount of existing documents raise important issues in efficient handling of documents. Printed texts in documents need to be...
Xiaonan Lu, James Ze Wang, C. Lee Giles
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 29 days ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
WPES
2003
ACM
15 years 5 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 8 days ago
Mining for misconfigured machines in grid systems
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...
Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ra...