Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 55 for “"Data objects"”.
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Efficient replication of large data objects
… for improving the reliability and scalability of data services. The primary problem encountered in replication is the trade-off between amount of replication, performance, and consistency. A rule of thumb states that any replication algorithm must sacrifice at least one of these criteria. In this …
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Effective use of Java Data objects in developing database applications. Advantages and disadvantages
Currently, the most common approach in developing database applications is to use an object-oriented language for the frontend module and a relational database for the backend datastore. The major disadvantage of this approach is the well-known "impedance mismatch" in which some form of mapping is …
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Contributions to fuzzy object comparison and applications. Similarity measures for fuzzy and heterogeneous data and their applications.
… contribution to knowledge in the fi eld of data objects' comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applications require information management components that provide support for …
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Automatically Extract Information from Web Documents
… for information extraction. Structured data objects are a very important type of information on the Web. Such data objects are often records from underlying databases and displayed in Web pages with some fixed templates. Mining data records in Web pages is useful because they typically …
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Quantitative Metrics and Measurement Methodologies for System Security Assurance
… attackers. Also, many proactive measures (e.g., data pointer protection or data flow integrity) suffer performance bottlenecks. This dissertation identifies and represents attack vectors as metrics using the knowledge from advanced exploits and demonstrates the effectiveness of the metrics by …
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Pretraining Table Embeddings for Knowledge Graph Based Provenance Systems
… a knowledge graph based provenance system for data objects across institutions and teams. The world of data objects and systems is complex and heterogeneous. For effective collaboration, a shared data model is needed. Specifically, this work examines the problem of provenance subgraph …
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Efficient Similarity Search in Structured Data
Modern database applications are characterized by two major aspects: the use of complex data types with internal structure and the need for new data analysis methods. The focus of database users has shifted from simple queries to complex analyses of the data, known as knowledge discovery in …
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Iterative Computing over a Unified Relationship Matrix for Information Integration
… Matrix (URM) to represent a set of heterogeneous data objects and their inter-relationships. I argue that integrated and iterative computations over the Unified Relationship Matrix can help overcome the data sparseness problem (a common situation in various information application scenarios), and …
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Integrated Mobility and Service Management for Future All-IP Based Wireless Networks
… carry service context information such as cached data items and Web processing objects, and perform context-aware functions such as content adaptation for services engaged by the MN to help application executions. We investigate a proxy-based integrated mobility and service management architecture …
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Comparative Mining of Multiple Web Data Source Contents with Object Oriented Model
Web contents usually contain different types of data which are embedded under different complex structures. Existing approaches for extracting data contents from the web are manual wrappers, supervised wrapper induction, or automatic data extraction. The WebOminer system is an automatic extraction …
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Local selection of features and its applications to image search and annotation
… applications, direct representations of data objects typically involve hundreds or thousands of features. Given a query object, the similarity between the query object and a database object can be computed as the distance between their feature vectors. The neighborhood of the query object …
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The actuated Workbench : 2D actuation in tabletop tangible interfaces
… control the two-dimensional movement of physical objects on flat surfaces. This mechanism is intended for use with existing tabletop Tangible User Interfaces, providing computer-controlled movement of the physical objects on the table, and creating an additional feedback layer for Human Computer …
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Online banking : a case study for dynamic database-driven client/server system
… technologies were used to build the dynamic database-driven client/server system. These techniques include scripting languages, cascading style sheets, dynamic HTML, active server pages, active data objects, active server framework, design-time controls, ODBC and others. The implementation …
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A subspace optimizing data parallel complier
Scientific programs with large data sets are an important class of computer application, requiring large amounts of memory and computational power. Massively parallel processing hardware and data parallel programming techniques are increasingly used to meet these requirements. A new approach to …
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Constraint models for an object-oriented database
… been much work in the area of object-oriented databases for engineering design applications. The ability to define and have enforced arbitrary semantic constraints to represent design rules and design intent factors is a useful attribute of such an engineering design database. There are a …
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SHIFTING SPACES IN DIGITAL RHETORIC: EPHEMERA IN THE AGE OF INFINITE MEMORY
… offloaded from the human mind, abstracted into data objects, and ultimately placed into an external storage medium are an excellent starting point for this type of critical analysis. This paper seeks to set the groundwork for such an examination by outlining the relationship between storage, …
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Data Mining via Support Vector Machines: Scalability, Applicability, and Interpretability
KDD (Knowledge Discovery and Data mining) has been extensively studied in the last decade as data is continuously increasing in size and complexity. This thesis introduces three practical data mining problems---(1) classifying with large data sets, (2) classifying without negative data (i.e., …
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Walking forward and backward: towards graph-based searching and mining
"Graphs are powerful vehicles to represent data objects that are interconnecting or interacting with each other. We explore random walks on various kinds of graph to address different searching and mining scenarios. This dissertation focuses on two symmetric forms of random walk called the forward …
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Contributions for Handling Big Data Heterogeneity. Using Intuitionistic Fuzzy Set Theory and Similarity Measures for Classifying Heterogeneous Data
A huge amount of data is generated daily by digital technologies such as social media, web logs, traffic sensors, on-line transactions, tracking data, videos, and so on. This has led to the archiving and storage of larger and larger datasets, many of which are multi-modal, or contain different …
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Serialization and Applications for the Gen Probabilistic Programming Language
… Serialization, the process of converting data structures or objects into a format suitable for storage or transmission, plays a crucial role in the development and execution of probabilistic programs. Efficient serialization techniques are essential for tasks such as data persistence, …
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