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» Data Mining Architectures - A Comparative Study
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AIED
2009
Springer
14 years 3 months ago
Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System
A basic question of instruction is how effective it is in promoting student learning. This paper presents a study determining the relative efficacy of different instructional conte...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
14 years 3 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...
VRML
2004
ACM
14 years 2 months ago
Interactive Web-based visualisation of block model data
Mining operations have traditionally used specialised software packages to process and visualise valuable mining data. The downside to this approach is that the information can on...
Tony Gill, Con Caris, Guy LeBlanc Smith
SDM
2007
SIAM
85views Data Mining» more  SDM 2007»
13 years 10 months ago
Kernel Based Detection of Mislabeled Training Examples
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
Hamed Valizadegan, Pang-Ning Tan
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 9 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason