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INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
14 years 4 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
CORR
2010
Springer
166views Education» more  CORR 2010»
13 years 10 months ago
A CHAID Based Performance Prediction Model in Educational Data Mining
The performance in higher secondary school education in India is a turning point in the academic lives of all students. As this academic performance is influenced by many factors,...
M. Ramaswami, R. Bhaskaran
JCISD
2006
114views more  JCISD 2006»
13 years 9 months ago
Ensemble of Linear Models for Predicting Drug Properties
We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this...
Tomasz Arodz, David A. Yuen, Arkadiusz Z. Dudek
ACL
2001
13 years 11 months ago
Using Machine Learning Techniques to Interpret WH-questions
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
Ingrid Zuckerman, Eric Horvitz
SIGMOD
1999
ACM
122views Database» more  SIGMOD 1999»
14 years 2 months ago
BOAT-Optimistic Decision Tree Construction
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishn...