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SIGKDD
2000
237views more  SIGKDD 2000»
13 years 9 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 9 months ago
Mining Frequent Itemsets from Secondary Memory
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
Gösta Grahne, Jianfei Zhu
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
14 years 2 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
SIGMOD
1998
ACM
199views Database» more  SIGMOD 1998»
14 years 2 months ago
MultiMediaMiner: A System Prototype for Multimedia Data Mining
Multimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases. A multimedia data mining system prototype, MultiMediaMiner...
Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Sonn...
KDD
1995
ACM
216views Data Mining» more  KDD 1995»
14 years 1 months ago
Robust Decision Trees: Removing Outliers from Databases
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
George H. John