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TEC
2008
104views more  TEC 2008»
15 years 4 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
SSDBM
2007
IEEE
127views Database» more  SSDBM 2007»
15 years 10 months ago
A Fast Algorithm for Approximate Quantiles in High Speed Data Streams
We present a fast algorithm for computing approximate quantiles in high speed data streams with deterministic error bounds. For data streams of size N where N is unknown in advanc...
Qi Zhang, Wei Wang 0010
DCC
2000
IEEE
15 years 8 months ago
Lossless Compression of High-Volume Numerical Data from Simulations
Applications in scientific computing operate with high-volume numerical data and the occupied space should be reduced. Traditional compression algorithms cannot provide sufficie...
Vadim Engelson, Dag Fritzson, Peter Fritzson
ICMCS
2007
IEEE
211views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Context-Based Scalable Coding and Representation of High Resolution Art Pictures for Remote Data Access
EROS is the largest database in the world of high resolution art pictures. The TSAR project is designed to open it in a secure, efficient and user-friendly way that involves cryp...
Marie Babel, Olivier Déforges, Laurent B&ea...
FAST
2009
15 years 2 months ago
Provenance as Data Mining: Combining File System Metadata with Content Analysis
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases an...
Vinay Deolalikar, Hernan Laffitte