[PDF] Top 20 Systematic clustering-based microaggregation for statistical disclosure control
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Systematic clustering-based microaggregation for statistical disclosure control
... Previous microaggregation methods have been roughly divided into two categories, namely fixed-size and data- oriented microaggregation [3], ...data-oriented microaggregation, the partition is done by ... See full document
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Systematic clustering-based microaggregation for statistical disclosure control
... NSS has been a premier conference that has brought together researchers and practitioners from academia, industry, and governments around the world to advance the theories and technologies of network and system security, ... See full document
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Novel iterative min-max clustering to minimize information loss in statistical disclosure control
... Many microaggregation methods derive from traditional clustering algo- ...hierarchical clustering method of Ward et ...a microaggregation method based on the fuzzy c-means algorithm ... See full document
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Statistical Disclosure Control for Data Privacy Preservation
... issues. Statistical Disclosure Control (SDC) is often applied to statistical databases for preserving the privacy of individual ...data. Microaggregation is an efficient ... See full document
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Microdata protection method through microaggregation: a systematic approach
... in statistical databases has recently become a major societal concern and has been intensively studied in recent ...years. Statistical Disclosure Control (SDC) is often applied to ... See full document
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An approximate microaggregation approach for microdata protection
... Statistical Disclosure Control (SDC) seeks to transform data in such a way that the data can be publicly released whilst preserving utility and privacy, where the latter means avoiding ... See full document
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Microaggregation sorting framework for k-anonymity statistical disclosure control in cloud computing
... for microaggregation works by partitioning microdata into groups, where within groups the records are homogeneous but between groups the records are heterogeneous so that information loss is ...in ... See full document
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Modeling projections in microaggregation
... by statistical agencies to limit the disclosure of sensitive ...methods based on projections have been introduced in the litera- ...the disclosure risk as low as possible for all ...the ... See full document
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K−means clustering microaggregation for statistical disclosure control
... a microaggregation method is measured by calculating its information ...effective microaggregation method should incur as little information loss as pos- ...to microaggregation, all records are par- ... See full document
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New multi-dimensional sorting based k-anonymity microaggregation for statistical disclosure control
... Fixed-size microaggregation that is also based on a centroid but builds only one cluster during each ...1)records based on some criteria. V-MDAV adopts a user- defined parameter to control the ... See full document
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Clustering Network Topology Control Method Based on Responsibility Transmission
... topology control is an effective approach which can improve the quality of wireless sensor network at all ...nodes. Based on the above, new clustering network topology control algorithm ... See full document
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A Systematic Comparison of Phrase Based, Hierarchical and Syntax Augmented Statistical MT
... Expressiveness: In order to evaluate how much of the improvement is due to the relatively weaker expressiveness of the phrase-based model, we tried to regenerate translations produced by the hierar- chical system ... See full document
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Spatial and Statistical Clustering Based Regionalization of Precipitation and Trend Identification in Pranhita Catchment, India
... using statistical and spatial clustering techniques and identifies the trend over Pranhita ...3b. Statistical clustering done through AHC method of clustering divided the stations into ... See full document
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Disclosure control of analytical outputs
... likely disclosure is also considered, and it is shown that the NSI can carry out its own safety tests easily, and can also prevent intruders generating meaningful fitted values by application of the same ... See full document
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An Enhanced Clustering Based Technique for Congestion Control in VANET
... VANET is one of the influencing areas for the improvement of Intelligent Transportation System (ITS) in order to provide safety and comfort to the road users. VANET assists vehicle drivers to communicate and to ... See full document
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Statistical properties of earthquakes clustering
... anean based on the NEIC data locations (set ME, from USGS National Earthquake Information Center, 1973–2002) and a global catalogue based on Harvard CMT solutions (set WR, from Centroid Moment Tensor ... See full document
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Clustering the objective interestingness measures based on tendency of variation in statistical implications
... application. Clustering of objective interestingness measures is one of the research areas that many researchers are concerning ...[9][21]. Clustering measures is the process of searching and discovery of ... See full document
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A Statistical Clustering Data Streams Based On Shared Density among Micro Clusters
... primarily based only on micro-clusters solely take closeness of the micro-clusters under ...Density- based knowledge stream agglomeration algorithms like D-Stream [7] and MR-Stream [8] use the thought ... See full document
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Domain Adaptable Semantic Clustering in Statistical NLG
... As compared to other NLG systems, there are several limitations to what we have presented here. First of all, our system assumes the document plan is given as an input; but this is not always necessarily true. In ... See full document
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A Clustering Based Location-allocation Problem Considering Transportation Costs and Statistical Properties (RESEARCH NOTE)
... center-based clustering is convergence to the local ...in clustering and vector quantization ...K-means clustering methods generally provide solutions that are only locally optimal for a given ... See full document
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