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» The Predictability of Data Values
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VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 10 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
ICEIS
2008
IEEE
14 years 4 months ago
Internal Fraud Risk Reduction - Results of a Data Mining Case Study
Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against frau...
Mieke Jans, Nadine Lybaert, Koen Vanhoof
FAST
2011
13 years 1 months ago
Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory
The predicted shift to non-volatile, byte-addressable memory (e.g., Phase Change Memory and Memristor), the growth of “big data”, and the subsequent emergence of frameworks su...
Shivaram Venkataraman, Niraj Tolia, Parthasarathy ...
CIBCB
2009
IEEE
13 years 11 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
MSN
2005
Springer
14 years 3 months ago
Handling Sensed Data in Hostile Environments
Systems that track sensed data trigger alerts based on the evaluation of some condition. In the presence of loss data a conservative condition may not generate a necessary alert an...
Oren Ben-Zwi, Shlomit S. Pinter