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» Mining Very Large Databases
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SIGMOD
2008
ACM
101views Database» more  SIGMOD 2008»
15 years 1 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»
16 years 2 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»
15 years 5 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»
15 years 3 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»
15 years 6 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