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A Method for Sharing Economic Law Teaching Curriculum Resources Based on WEB Data Mining
In order to address the shortcomings of low sharing accuracy and long waiting time for shared tasks in existing course resource sharing methods, this...
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Executing Ad-Hoc Queries on Large Geospatial Data Sets Without Acceleration Structures
In this case study, we investigate if it is possible to harness the capabilities of modern commodity hardware to perform ad-hoc queries on large raw...
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Heart Rate Variability-Based Mental Stress Detection: An Explainable Machine Learning Approach
Stress may be identified by examining changes in everyone’s physiological reactions. Due to its usefulness and non-intrusive appearance, wearable...
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Navigation Data
Urban mobility planning depends largely on the presence of good navigation data. Vector maps are not always available for many areas – especially for...
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Logical design of multi-model data warehouses
Multi-model DBMSs, which support different data models with a fully integrated backend, have been shown to be beneficial to data warehouses and OLAP...
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Semi-structured Data in Snowflake
In this chapter, we will cover how the Snowflake Data Cloud handles semi-structured data such as JSON and XML. As data capture and sources have grown...
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A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration
Industry 4.0 era has witnessed that more and more high-tech and precise devices are applied into medical field to provide better services. Besides...
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A brief survey on big data: technologies, terminologies and data-intensive applications
The technical advancements and the availability of massive amounts of data on the Internet draw huge attention from researchers in the areas of...
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Data Access
Most applications use a relational database such as Oracle, MySQL, or PostgreSQL; however, there is more to data storage than just SQL databases....
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A Data Structure for Develo** Data-Driven Digital Twins
Digital twins have the potential to revolutionize the way we design, build and maintain complex systems. They are high-fidelity representations of...
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Querying Healthcare Data in Knowledge-Based Systems
In the ever-evolving healthcare landscape, integrating knowledge-based systems into data querying processes is becoming imperative. The existing...
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Data
A large language model (LLM) processes huge amounts of data for its generative AI systems. They are on the scale of petabytes. Consider that a...
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Mastering data privacy: leveraging K-anonymity for robust health data sharing
In modern healthcare systems, data sources are highly integrated, and the privacy challenges are becoming a paramount concern. Despite the critical...
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Automated Data Fabric and Data Mesh Aspects
The vigilant reader of this book has certainly noticed the distinguished focus that we have put on applying AI with automation and intelligent...
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Uploading Data and Files
In Chapter 3, we used a form to collect data to send on as an email. Forms can be used not only to send text data but also to upload a binary file,...
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A systematic data characteristic understanding framework towards physical-sensor big data challenges
Big data present new opportunities for modern society while posing challenges for data scientists. Recent advancements in sensor networks and the...
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Next Generation Data Masking Engine
This paper introduces Magen, an advanced masking engine. Magen is a policy-based masking engine that supports a wide range of payloads and use cases....
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Big Data Monitoring
In this chapter, the reader is introduced to the pivotal domain of big data monitoring, delving into the fundamental concepts and tools essential for...
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Improving Fuzzing Using Input Data Offsets Comparison Information
AbstractThere is a wide range of fuzzing techniques for security assurance. Communication protocols and programs accepting complex structured data,...
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A synthetic data generation system based on the variational-autoencoder technique and the linked data paradigm
Currently, the generation of synthetic data has become very fashionable, either due to the need to create data in certain specific contexts or to...
