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» Parallel Relative Debugging with Dynamic Data Structures
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SOFTVIS
2010
ACM
14 years 12 months ago
Towards anomaly comprehension: using structural compression to navigate profiling call-trees
Developers must often diagnose anomalies in programs they only have a partial knowledge of. As a result, they must simultaneously reverse engineer parts of the system they are unf...
Shen Lin 0003, François Taïani, Thomas...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 2 days ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
IPPS
2002
IEEE
15 years 4 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
106
Voted
PDPTA
2000
15 years 1 months ago
Evaluation of Neural and Genetic Algorithms for Synthesizing Parallel Storage Schemes
Exploiting compile time knowledge to improve memory bandwidth can produce noticeable improvements at run-time [13, 1]. Allocating the data structure [13] to separate memories when...
Mayez A. Al-Mouhamed, Husam Abu-Haimed
162
Voted
VLDB
2000
ACM
248views Database» more  VLDB 2000»
15 years 3 months ago
Multi-Dimensional Database Allocation for Parallel Data Warehouses
Data allocation is a key performance factor for parallel database systems (PDBS). This holds especially for data warehousing environments where huge amounts of data and complex an...
Thomas Stöhr, Holger Märtens, Erhard Rah...