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127
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DMKD
2004
ACM
121views Data Mining» more  DMKD 2004»
15 years 8 months ago
Discovery of ads web hosts through traffic data analysis
One of the most actual problems on web crawling
V. Bacarella, Fosca Giannotti, Mirco Nanni, Dino P...
AUSDM
2006
Springer
136views Data Mining» more  AUSDM 2006»
15 years 8 months ago
Data Mining in Conceptualising Active Ageing
The concept of older adults contributing to society in a meaningful way has been termed `active ageing'. We present applications of data mining techniques on the active agein...
Richi Nayak, Laurie Buys, Jan Lovie-Kitchin
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
15 years 8 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
CAINE
2008
15 years 6 months ago
Hierarchical Clustering of Features on Categorical Data of Biomedical Applications
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
Yi Lu, Lily R. Liang
139
Voted
CMG
2001
15 years 6 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman