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74
Voted
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
15 years 9 months ago
Data Mining for Typhoon Image Collection
This paper introduces the application of data mining methods to the analysis and prediction of the typhoon. The testbed for this research is the typhoon image collection that we e...
Asanobu Kitamoto
KDD
2001
ACM
195views Data Mining» more  KDD 2001»
15 years 9 months ago
Multimedia Data Mining for Traffic Video Sequences
In this paper, a multimedia data mining framework for discovering important but previously unknown knowledge such as vehicle identification, traffic flow, and the spatio-temporal ...
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Jef...
123
Voted
KDD
2001
ACM
1203views Data Mining» more  KDD 2001»
15 years 9 months ago
Application of Data Mining Techniques for Medical Image Classification
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...
Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...
52
Voted
KDD
2001
ACM
130views Data Mining» more  KDD 2001»
15 years 9 months ago
Learning and making decisions when costs and probabilities are both unknown
Bianca Zadrozny, Charles Elkan
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
15 years 9 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
15 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
89
Voted
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
15 years 9 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
60
Voted
KDD
2001
ACM
148views Data Mining» more  KDD 2001»
15 years 9 months ago
Discovering associations with numeric variables
Geoffrey I. Webb
64
Voted
KDD
2001
ACM
148views Data Mining» more  KDD 2001»
15 years 9 months ago
Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web
Doug Warner, J. Neal Richter, Stephen D. Durbin, B...
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
15 years 9 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...