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PAKDD
2010
ACM
208views Data Mining» more  PAKDD 2010»
15 years 6 months ago
Efficient Pattern Mining of Uncertain Data with Sampling
Mining frequent itemsets from transactional datasets is a well known problem with good algorithmic solutions. In the case of uncertain data, however, several new techniques have be...
Toon Calders, Calin Garboni, Bart Goethals
SIGKDD
2000
237views more  SIGKDD 2000»
15 years 4 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
15 years 10 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
15 years 10 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
BMCBI
2006
112views more  BMCBI 2006»
15 years 4 months ago
MassSorter: a tool for administrating and analyzing data from mass spectrometry experiments on proteins with known amino acid se
Background: Proteomics is the study of the proteome, and is critical to the understanding of cellular processes. Two central and related tasks of proteomics are protein identifica...
Harald Barsnes, Svein-Ole Mikalsen, Ingvar Eidhamm...