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AUSAI
2005
Springer
14 years 29 days ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
KDD
1998
ACM
140views Data Mining» more  KDD 1998»
13 years 11 months ago
Active Templates: Comprehensive Support for the Knowledge Discovery Process
The goal of Active Template research is to create a single, unified environment that a data analyst can use to carry out a knowledge discovery project, and to deliver the resultin...
Randy Kerber, Hal Beck, Tej Anand, Bill Smart
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
13 years 11 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
ANSS
2004
IEEE
13 years 11 months ago
A Self Manageable Infrastructure for Supporting Web-based Simulations
Imagine if you would like to deploy your new simulation online and your systems can just take care of itself. Needed web interface could be generated, database schema objects coul...
Yingping Huang, Xiaorong Xiang, Gregory R. Madey
BMCBI
2005
251views more  BMCBI 2005»
13 years 7 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...