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» Mining Very Large Databases
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SIGMOD
2000
ACM
133views Database» more  SIGMOD 2000»
15 years 7 months ago
Data Mining on an OLTP System (Nearly) for Free
This paper proposes a scheme for scheduling disk requests that takes advantage of the ability of high-level functions to operate directly at individual disk drives. We show that s...
Erik Riedel, Christos Faloutsos, Gregory R. Ganger...
TKDE
2008
156views more  TKDE 2008»
15 years 3 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang
147
Voted
PODS
2003
ACM
156views Database» more  PODS 2003»
16 years 3 months ago
Limiting privacy breaches in privacy preserving data mining
There has been increasing interest in the problem of building accurate data mining models over aggregate data, while protecting privacy at the level of individual records. One app...
Alexandre V. Evfimievski, Johannes Gehrke, Ramakri...
VLDB
1991
ACM
143views Database» more  VLDB 1991»
15 years 6 months ago
Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning
Shared nothing multiprocessor archit.ecture is known t.obe more scalable to support very large databases. Compared to other join strategies, a hash-ba9ed join algorithm is particu...
Kien A. Hua, Chiang Lee
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
15 years 1 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti