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» Improving data mining utility with projective sampling
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
13 years 9 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
ICDM
2010
IEEE
164views Data Mining» more  ICDM 2010»
13 years 2 months ago
Improved Consistent Sampling, Weighted Minhash and L1 Sketching
Abstract--We propose a new Consistent Weighted Sampling method, where the probability of drawing identical samples for a pair of inputs is equal to their Jaccard similarity. Our me...
Sergey Ioffe
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
13 years 8 months ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last
AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
13 years 11 months ago
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
Alva Erwin, Raj P. Gopalan, N. R. Achuthan