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[PDF] Top 20 Research of Data Publishing Based on Micro aggregation

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Research of Data Publishing Based on Micro aggregation

Research of Data Publishing Based on Micro aggregation

... of data that exists in traditional K-Anonymity ...new data publishing algorithm which is on the basis of ...the data table according to Micro-aggregation thought, thus solve the ... See full document

5

Privacy preserving data publishing based on sensitivity in context of Big Data using Hive

Privacy preserving data publishing based on sensitivity in context of Big Data using Hive

... privacy-preserving data publishing method, namely MNSACM, to publish micro data with multiple numerical sensitive attributes which uses the ideas of clustering and Multi-Sen- sitive ... See full document

20

Research on Improved Privacy Publishing Algorithm Based on Set Cover

Research on Improved Privacy Publishing Algorithm Based on Set Cover

... privacy publishing algorithm under frequent item sets uses many k-dimensional tables of the same dimension to en- sure the data availability of the published data set at the expense of a certain ... See full document

28

Research on the Wage Gap Between Urban and Rural Labor: Based on CHNS Micro Survey Data

Research on the Wage Gap Between Urban and Rural Labor: Based on CHNS Micro Survey Data

... market, research on occupational discrimination also have been paid much attention by scholars, mainly based on Brown decomposition method ...the data of 1995-1996 in Shanghai and claimed that the ... See full document

6

A Dynamic Social Network Data Publishing Algorithm Based on Differential Privacy

A Dynamic Social Network Data Publishing Algorithm Based on Differential Privacy

... great research value and application ...network data release usually cannot adapt to the dynamic development of social network ...technology, data encryption technology, differen- tial privacy ... See full document

11

WSN Data Transmission Algorithm Based on Spatial Data Aggregation

WSN Data Transmission Algorithm Based on Spatial Data Aggregation

... Traditional data privacy protection and data aggregation algorithms are mainly based on network topology (tree and cluster ...new research worked on data aggregation ... See full document

12

Social Media Data Publishing for Personalized Ranking-Based Recommendation

Social Media Data Publishing for Personalized Ranking-Based Recommendation

... recent research has studied how to advise places with social and geographical information, some of which have dealt with the issue of beginning the new cold ...semantic data can be used to address this ... See full document

6

Title: EVALUATION OF TREE BASED DATA AGGREGATION TECHNIQUES

Title: EVALUATION OF TREE BASED DATA AGGREGATION TECHNIQUES

... Major challenge in a WSN is to make cheap and small sensor nodes. There are an increasing number of small companies producing WSN hardware and the commercial situation can be compared to home computing in the 1970s. Many ... See full document

8

Aggregation of Recoverable Concealed Data in Homogeneous Wireless Sensor Networks

Aggregation of Recoverable Concealed Data in Homogeneous Wireless Sensor Networks

... the data type of aggregation or cause extra transmission ...sensing data of its cluster members after capturing a cluster ...recent research. First, data are encrypted during ... See full document

5

Data-Aggregation in WSN Based On Distance Based Routing With Secure Features

Data-Aggregation in WSN Based On Distance Based Routing With Secure Features

... for micro sensor frameworks that solidify the assumptions of energy effective cluster based routing and media get to gather with application-particular data aggregation to achieve ... See full document

9

Slicing Technique to Prevent Generalized Losses and Membership Disclosure in Micro Data Publishing

Slicing Technique to Prevent Generalized Losses and Membership Disclosure in Micro Data Publishing

... The main part of the tuple-partition algorithm is to check whether a sliced table satisfies „ℓ -diversity (5) mentioned in Algorithm 1.Now Algorithm1.1 gives a description of the diversity-check algorithm. For each tuple ... See full document

7

Architecture of data publishing tool for the linked data

Architecture of data publishing tool for the linked data

... are based on either data transformation or query ...in publishing tools. Some publishing tools follows concept of data transformation and some publishing tools follows concept of ... See full document

5

ANALYSIS OF ENERGY CONSUMING FOR CORRELATION BASED DATA AGGREGATION

ANALYSIS OF ENERGY CONSUMING FOR CORRELATION BASED DATA AGGREGATION

... source data rate is proportional to the ...send data to its neighbour node. The data correlation between two neighbouring nodes becomes ...redundant data can be removed by this ... See full document

6

Dynamic Optimization of Generalized SQL Queries with Horizontal Aggregations Using K-Means Clustering

Dynamic Optimization of Generalized SQL Queries with Horizontal Aggregations Using K-Means Clustering

... horizontal aggregation. First one is horizontal aggregation represent a template to generate SQL code from a data mining ...the data preparation phase in data mining related ...the ... See full document

7

Trust based Data Aggregation in Wireless Sensor Networks

Trust based Data Aggregation in Wireless Sensor Networks

... Heterogeneous network consist of sensor nodes with different computational capability.It consist of both low value sensor (L-Sensor) and high value sensor (H-Sensor).This scheme consists of six procedures: Setup, ... See full document

5

The Future of Research Publishing: The eReport and eJournal

The Future of Research Publishing: The eReport and eJournal

... conventional research report presents the summary of the outcome of statistical ...the data and must accept its existence by faith ...actual data collected in the ...the data for independent ... See full document

6

A Comparison of Alternative Estimators of  Linearly Aggregated Macro Models

A Comparison of Alternative Estimators of Linearly Aggregated Macro Models

... the micro estimates is employed. Instead of simply aggregating the micro estimates, the projection into the space spanned by the macro explanatory variables is ... See full document

15

Protection of micro data subject to edit constraints against statistical disclosure

Protection of micro data subject to edit constraints against statistical disclosure

... are based on the logical consistency between highly correlated variables, such as edit E2 relating the level of income to ...are based on minimizing the distortions to distributions and the effects on ... See full document

36

SGML-based publishing

SGML-based publishing

... transparent of systems and platforms without structure of a of publishing meets systems require movement of the diminishing these requirements information between integrity by document i[r] ... See full document

55

Implementation of Artificial Neural Network Training Data in Micro-Controller Based Embedded System

Implementation of Artificial Neural Network Training Data in Micro-Controller Based Embedded System

... from randomly generated weight sets and uses gradient information to generate a new population of weights. This is a hybrid algorithm which combines the use of random populations with an approximated gradient approach. ... See full document

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