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» Discovering Robust Knowledge from Databases that Change
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ICDE
2011
IEEE
237views Database» more  ICDE 2011»
12 years 11 months ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer
DMIN
2006
83views Data Mining» more  DMIN 2006»
13 years 9 months ago
On Novelty Evaluation of Potentially Useful Patterns
- As is generally accepted, the most important feature that a Knowledge Discovery in Database (KDD) system must possess is, to be able to discover patterns that are "novel&quo...
Ying Xie, Manmathasivaram Nagarajan, Vijay V. Ragh...
ICB
2007
Springer
156views Biometrics» more  ICB 2007»
14 years 1 months ago
Robust Extraction of Secret Bits from Minutiae
Abstract. Our goal is to extract consistent bits from the same fingerprint in a noisy environment. Such bits can then be used as a secret key in several cryptographic applications...
Ee-Chien Chang, Sujoy Roy
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 8 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...
VLDB
1994
ACM
127views Database» more  VLDB 1994»
13 years 11 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton