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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
15 years 10 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
15 years 10 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
15 years 10 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
15 years 9 months ago
Paths to stardom: calibrating the potential of a peer-based data management system
As peer-to-peer (P2P) networks become more familiar to the database community, intense interest has built up in using their scalability and resilience properties to scale database...
Mihai Lupu, Beng Chin Ooi, Y. C. Tay
91
Voted
SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
15 years 9 months ago
Evaluating Probabilistic Queries over Imprecise Data
Many applications employ sensors for monitoring entities such as temperature and wind speed. A centralized database tracks these entities to enable query processing. Due to contin...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...