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SIGKDD
2002
93views more  SIGKDD 2002»
15 years 1 months ago
Randomization in Privacy-Preserving Data Mining
Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...
Alexandre V. Evfimievski
ICML
2001
IEEE
16 years 3 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 2 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
ICDCS
2007
IEEE
15 years 8 months ago
Differentiated Data Persistence with Priority Random Linear Codes
Both peer-to-peer and sensor networks have the fundamental characteristics of node churn and failures. Peers in P2P networks are highly dynamic, whereas sensors are not dependable...
Yunfeng Lin, Baochun Li, Ben Liang
SIGCSE
1999
ACM
91views Education» more  SIGCSE 1999»
15 years 6 months ago
Using randomization in the teaching of data structures and algorithms
We describe an approach for incorporating randomization in the teaching of data structures and algorithms. The proofs we include are quite simple and can easily
Michael T. Goodrich, Roberto Tamassia