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» Mining Multiple Large Databases
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SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
16 years 2 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han
111
Voted
VLDB
1998
ACM
115views Database» more  VLDB 1998»
15 years 6 months ago
Bank of America Case Study: The Information Currency Advantage
This paper describes the external forces that motivate financial institutions to collect, aggregate, analyze, and mine data so that it can be transformed into information, one of ...
Felipe Cariño, Mark Jahnke
128
Voted
BIB
2002
136views more  BIB 2002»
15 years 2 months ago
Technologies for Integrating Biological Data
The process of building a new database relevant to some field of study in biomedicine involves transforming, integrating, and cleansing multiple data sources, as well as adding ne...
L. Wong
217
Voted
SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
16 years 2 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...
134
Voted
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
15 years 4 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan