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» Targeting Business Users with Decision Table Classifiers
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KDD
1998
ACM
113views Data Mining» more  KDD 1998»
13 years 9 months ago
Targeting Business Users with Decision Table Classifiers
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
Ron Kohavi, Dan Sommerfield
IADIS
2008
13 years 6 months ago
Web Mining: A Key to Improve Business on Web
This paper takes an overview of the web mining concept and how it can be useful and beneficial to the business improvement by facilitating its applications in various areas over t...
Pradnya Purandare
ICDE
2007
IEEE
159views Database» more  ICDE 2007»
14 years 6 months ago
The Multi-Relational Skyline Operator
Most of the existing work on skyline query has been extensively used in decision support, recommending systems etc, and mainly focuses on the efficiency issue for a single table. ...
Wen Jin, Martin Ester, Zengjian Hu, Jiawei Han
BMCBI
2010
119views more  BMCBI 2010»
13 years 2 months ago
The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumour
Background: Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based tec...
Alexander Pérez-Ruiz, Margarida Julià...
ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 1 days ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer