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ADMA
2005
Springer
117views Data Mining» more  ADMA 2005»
15 years 8 months ago
Context-Sensitive Regression Analysis for Distributed Data
A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this a...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
EDM
2009
104views Data Mining» more  EDM 2009»
15 years 4 months ago
Visualization of Differences in Data Measuring Mathematical Skills
Identification of significant differences in sets of data is a common task of data mining. This paper describes a novel visualization technique that allows the user to interactivel...
Lukás Zoubek, Michal Burda
IDEAS
1999
IEEE
175views Database» more  IDEAS 1999»
15 years 10 months ago
A Parallel Scalable Infrastructure for OLAP and Data Mining
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
Sanjay Goil, Alok N. Choudhary
ICDM
2002
IEEE
114views Data Mining» more  ICDM 2002»
15 years 11 months ago
Online Algorithms for Mining Semi-structured Data Stream
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, w...
Tatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Ka...
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 7 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...