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ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
13 years 5 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
ICDE
2007
IEEE
138views Database» more  ICDE 2007»
14 years 9 months ago
Representing and Querying Correlated Tuples in Probabilistic Databases
Probabilistic databases have received considerable attention recently due to the need for storing uncertain data produced by many real world applications. The widespread use of pr...
Prithviraj Sen, Amol Deshpande
WWW
2008
ACM
14 years 8 months ago
Performance of compressed inverted list caching in search engines
Due to the rapid growth in the size of the web, web search engines are facing enormous performance challenges. The larger engines in particular have to be able to process tens of ...
Jiangong Zhang, Xiaohui Long, Torsten Suel
ICDE
2010
IEEE
428views Database» more  ICDE 2010»
14 years 7 months ago
Supporting Top-K Keyword Search in XML Databases
Keyword search is considered to be an effective information discovery method for both structured and semistructured data. In XML keyword search, query semantics is based on the con...
Liang Jeff Chen, Yannis Papakonstantinou
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 1 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau