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AI
2003
Springer
14 years 5 days ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire
SPIESR
2004
196views Database» more  SPIESR 2004»
13 years 8 months ago
Video mining using combinations of unsupervised and supervised learning techniques
We discuss the meaning and significance of the video mining problem, and present our work on some aspects of video mining. A simple definition of video mining is unsupervised disc...
Ajay Divakaran, Koji Miyahara, Kadir A. Peker, Reg...
NAACL
2007
13 years 8 months ago
OMS-J: An Opinion Mining System for Japanese Weblog Reviews Using a Combination of Supervised and Unsupervised Approaches
We introduce a simple opinion mining system for analyzing Japanese Weblog reviews called OMS-J. OMS-J is designed to provide an intuitive visual GUI of opinion mining graphs for a...
Guangwei Wang, Kenji Araki
SAC
2006
ACM
13 years 6 months ago
Combining supervised and unsupervised monitoring for fault detection in distributed computing systems
Fast and accurate fault detection is becoming an essential component of management software for mission critical systems. A good fault detector makes possible to initiate repair a...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
PRL
2011
12 years 9 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...