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» Mining Very Large Databases
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SIGMOD
2008
ACM
101views Database» more  SIGMOD 2008»
13 years 9 months ago
First workshop on very large digital libraries -- VLDL 2008
Paolo Manghi, Pasquale Pagano, Pavel Zezula
SIGMOD
2008
ACM
111views Database» more  SIGMOD 2008»
14 years 10 months ago
Efficiently answering reachability queries on very large directed graphs
Ruoming Jin, Yang Xiang, Ning Ruan, Haixun Wang
KDD
1995
ACM
92views Data Mining» more  KDD 1995»
14 years 1 months ago
A Database Interface for Clustering in Large Spatial Databases
Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
DEXA
2008
Springer
120views Database» more  DEXA 2008»
13 years 11 months ago
Compressing Very Large Database Workloads for Continuous Online Index Selection
The paper presents a novel method for compressing large database workloads for purpose of autonomic, continuous index selection. The compressed workload contains a small subset of ...
Piotr Kolaczkowski
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
14 years 2 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang