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» A Data Mining Address Book
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SIGKDD
2000
87views more  SIGKDD 2000»
13 years 8 months ago
Integrating Data Mining into Vertical Solutions
At KDD-99, the panel on Integrating Data Mining into Vertical Solutions addressed a series of questions regarding future trends in industrial applications. Panelists were chosen t...
Ron Kohavi, Mehran Sahami
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 1 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
BMCBI
2010
161views more  BMCBI 2010»
13 years 5 months ago
Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers
Background: The purpose of this manuscript is to provide, based on an extensive analysis of a proteomic data set, suggestions for proper statistical analysis for the discovery of ...
Mohammed Dakna, Keith Harris, Alexandros Kalousis,...
CORR
2006
Springer
139views Education» more  CORR 2006»
13 years 8 months ago
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multimodal optimization is proposed to formalize these...
Vojtech Krmicek, Michèle Sebag
PPOPP
2005
ACM
14 years 2 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...