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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 9 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, ...
ESANN
2004
13 years 10 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
IFIP12
2009
13 years 7 months ago
Mining Retail Transaction Data for Targeting Customers with Headroom - A Case Study
We outline a method to model customer behavior from retail transaction data. In particular, we focus on the problem of recommending relevant products to consumers. Addressing this ...
Madhu Shashanka, Michael Giering
BMCBI
2007
169views more  BMCBI 2007»
13 years 9 months ago
The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats
Background: In Archeae and Bacteria, the repeated elements called CRISPRs for "clustered regularly interspaced short palindromic repeats" are believed to participate in ...
Ibtissem Grissa, Gilles Vergnaud, Christine Pource...
CVPR
2003
IEEE
14 years 11 months ago
Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
Sanjiv Kumar, Martial Hebert