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» Opportunistic Data Structures with Applications
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ESWS
2009
Springer
15 years 11 months ago
Benchmarking Fulltext Search Performance of RDF Stores
More and more applications use the RDF framework as their data model and RDF stores to index and retrieve their data. Many of these applications require both structured queries as ...
Enrico Minack, Wolf Siberski, Wolfgang Nejdl
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
15 years 9 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...
ICDM
2010
IEEE
119views Data Mining» more  ICDM 2010»
15 years 2 months ago
Visually Controllable Data Mining Methods
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...
Kai Puolamäki, Panagiotis Papapetrou, Jefrey ...
CGA
2010
15 years 1 months ago
Using Visualization to Debug Visualization Software
Developing visualization applications is non-trivial and poses special challenges. This is due to the fact that typical visualization software processes a large amount of data res...
Robert S. Laramee
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 6 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu