Search results
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Title
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Constraint-based Generation of Database States for Testing Database Applications
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Author
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Pan, Kai
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Date Created
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2012
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Subjects--Topical
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Computer science
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Description
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Testing is essential for quality assurance of database applications.To test the quality of database applications, it usually requirestest inputs consisting of both program input values andcorresponding database states. However, producing these tes...
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Title
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PRESERVING DIFFERENTIAL PRIVACY IN COMPLEX DATA ANALYSIS
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Author
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Wang, Yue
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Date Created
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2015
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Description
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Omnipresent databases from various resources, such as social networks, electronic commercial websites, and health related wearable devices, have provided researchers with unprecedented opportunities to analyze complex social phenomena. While socie...
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Title
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PRESERVING DIFFERENTIAL PRIVACY IN COMPLEX DATA ANALYSIS
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Author
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Wang, Yue
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Date Created
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2015
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Subjects--Topical
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Computer science, Data sets
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Description
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Omnipresent databases from various resources, such as social networks, electronic commercial websites, and health related wearable devices, have provided researchers with unprecedented opportunities to analyze complex social phenomena. While socie...
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Title
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Privacy and Spectral Analysis of Social Network Randomization
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Author
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Ying, Xiaowei
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Date Created
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2011
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Description
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Social networks are of significant importance in various application domains. Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. Many applications of networks such as ...
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Title
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Privacy and Spectral Analysis of Social Network Randomization
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Author
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Ying, Xiaowei
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Date Created
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2011
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Description
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Social networks are of significant importance in various application domains. Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. Many applications of networks such as ...
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Title
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Privacy and Spectral Analysis of Social Network Randomization
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Author
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Ying, Xiaowei
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Date Created
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2011
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Subjects--Topical
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Computer science
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Description
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Social networks are of significant importance in various application domains. Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. Many applications of networks such as ...
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Title
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Randomization based privacy preserving categorical data analysis
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Author
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Guo, Ling
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Date Created
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2010
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Description
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This dissertation investigates data utility and privacy of randomization-based models in privacy preserving data mining for categorical data. For the analysis of data utility in randomization model, we first investigate the accuracy analysis for a...
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Title
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Randomization based privacy preserving categorical data analysis
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Author
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Guo, Ling
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Date Created
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2010
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Subjects--Topical
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Information technology
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Description
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This dissertation investigates data utility and privacy of randomization-based models in privacy preserving data mining for categorical data. For the analysis of data utility in randomization model, we first investigate the accuracy analysis for a...
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Title
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SPECTRAL ANALYSIS OF RICH NETWORK TOPOLOGY IN SOCIAL NETWORKS
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Author
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Wu, Leting
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Date Created
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2013
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Description
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Social networks have received much attention these days. Researchers have de- veloped different methods to study the structure and characteristics of the network topology. Our focus is on spectral analysis of the adjacency matrix of the underlying...
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Title
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SPECTRAL ANALYSIS OF RICH NETWORK TOPOLOGY IN SOCIAL NETWORKS
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Author
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Wu, Leting
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Date Created
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2013
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Subjects--Topical
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Information technology, Social sciences--Research
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Description
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Social networks have received much attention these days. Researchers have de- veloped different methods to study the structure and characteristics of the network topology. Our focus is on spectral analysis of the adjacency matrix of the underlying...
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Title
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Spectral Analysis of Directed Graphs using Matrix Perturbation Theory
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Author
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LI, YUEMENG
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Date Created
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2017
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Description
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The spectral space of the adjacency matrix contains important structural information of a given network (graph), where such information can be leveraged in developing a variety of algorithms in applications such as graph partition, structural hier...
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Title
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Spectral Analysis of Directed Graphs using Matrix Perturbation Theory
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Author
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LI, YUEMENG
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Date Created
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2017
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Subjects--Topical
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Computer science
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Description
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The spectral space of the adjacency matrix contains important structural information of a given network (graph), where such information can be leveraged in developing a variety of algorithms in applications such as graph partition, structural hier...
