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» Mining Very Large Databases
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BTW
2007
Springer
131views Database» more  BTW 2007»
15 years 10 months ago
TopX - Efficient and Versatile Top-k Query Process-ing for Text, Semistructured, and Structured Data
: This paper presents a comprehensive overview of the TopX search engine, an extensive framework for unified indexing and querying large collections of unstructured, semistructured...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
15 years 11 months ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
15 years 4 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...
ICDE
2007
IEEE
104views Database» more  ICDE 2007»
16 years 21 days ago
Filtering Frequent Spatial Patterns with Qualitative Spatial Reasoning
In frequent geographic pattern mining a large amount of patterns can be non-novel and non-interesting. This problem has been addressed recently, and background knowledge is used t...
Vania Bogorny, Bart Moelans, Luis Otávio Al...
PRIB
2009
Springer
187views Bioinformatics» more  PRIB 2009»
15 years 11 months ago
Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...
Tamara Polajnar, Mark A. Girolami