Mining Local Specialties for Travelers by Leveraging Structured and Unstructured Data by Kai Jiang, Like Liu, Rong Xiao, Nenghai Yu

“…To solve this problem, this paper presents a local specialty mining algorithm, which utilizes both the structured data from local review websites and the unstructured user-generated content (UGC) from community Q&A websites, and travelogues. …”
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Study on the Structured Processing of Unstructured Personalized Customer Requirement for Mass Customization by Qinglie Wu, Yu Guo

Subjects: “…mass customization;unstructured data;personalized requirement;requirement analysis;information…”
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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

“…CORD is a model that allows for dual input types: structured data from air quality data collected with meteorological cameras and images (unstructured data) from monitoring stations. …”
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Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

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Structured Transformation of Unstructured Prostate MRI Reports Using Large Language Models by Luca Di Palma, Fatemeh Darvizeh, Marco Alì, Deborah Fazzini

“…These models can improve clinical workflows by structuring unstructured medical text. However, a preliminary analysis of reporting styles is necessary to identify potential challenges and optimize prompt design to better align with individual physician reporting styles. …”
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Trajectory Planning for Autonomous Cars in Low-Structured and Unstructured Environments: A Systematic Review by Cristiano Souza de Oliveira, Rafael De S. Toledo, Vitor H. Tulux Oliveira Victorio, Aldo von Wangenheim

“…Moreover, we summarize the most adopted visual input sensors, their associated data structures that are used as search spaces for local planning, and sensor fusion techniques, which complement the advantages of different types of sensors. …”
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Small language models enable rapid and accurate extraction of structured data from unstructured text: An example with plants and their specialized metabolites by Lucas Busta, Alan R. Oyler

“…Small language models (SLMs), however, also have potential in this area as they have smaller compute footprints and allow users to keep data in-house. Here, we quantitatively evaluate the ability of SLMs to: (i) score references according to project-specific relevance and (ii) extract and structuring data from unstructured sources (scientific abstracts). …”
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Identifying long-term conditions in New Zealand general practice using structured and unstructured data: a cross-sectional study by Vanessa Selak, Katrina Poppe, Sue Wells, Yeunhyang Catherine Choi, Allan Ronald Moffitt, Claris Yee Seung Chung, Jane Ullmer

“…Programmatic text classification has demonstrated high performance and identified many more patients receiving LTC care.Conclusions Combining structured and unstructured data optimises MM detection in NZ general practices and has the potential to improve case management, follow-up care and allocation of healthcare resources.…”
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Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study by Mamoun T Mardini, Chen Bai, Anthony A Bavry, Ahmed Zaghloul, R David Anderson, Catherine E Crenshaw Price, Mohammad A Z Al-Ani

“…ConclusionsIntegrating unstructured clinical notes and structured EHR data led to a notable enhancement in predicting frailty. …”
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Navigating the unstructured by evaluating alphafold's efficacy in predicting missing residues and structural disorder in proteins. by Sen Zheng

“…The incorporation of pLDDT, IUPred scores, and sequence data into the LSTM model has improved the differentiation between structured and unstructured residues, particularly for shorter unstructured regions. …”
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Knowledge and theme discovery across very large biological data sets using distributed queries: a prototype combining unstructured and structured data. by Uma S Mudunuri, Mohamad Khouja, Stephen Repetski, Girish Venkataraman, Anney Che, Brian T Luke, F Pascal Girard, Robert M Stephens

“…In order to achieve useful results, researchers require methods that consolidate, store and query combinations of structured and unstructured data sets efficiently and effectively. …”
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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

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Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation by Vasileios Ntinopoulos, Hector Rodriguez Cetina Biefer, Igor Tudorache, Nestoras Papadopoulos, Dragan Odavic, Petar Risteski, Achim Haeussler, Omer Dzemali

“…Objectives We aimed to evaluate the performance of multiple large language models (LLMs) in data extraction from unstructured and semi-structured electronic health records.Methods 50 synthetic medical notes in English, containing a structured and an unstructured part, were drafted and evaluated by domain experts, and subsequently used for LLM-prompting. 18 LLMs were evaluated against a baseline transformer-based model. …”
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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

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The Effectiveness of Large Language Models in Transforming Unstructured Text to Standardized Formats by William Brach, Kristian Kostal, Michal Ries

“…While Large Language Models (LLMs) have shown remarkable capabilities in natural language processing, their potential to transform unstructured text into standardized, structured formats remains largely unexplored - a capability that could revolutionize data processing workflows across industries. …”
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Research of unstructured data interpretation problems by V. S. Tomashevskaya, D. A. Yakovlev

Subjects: “…unstructured data…”
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Artificial Intelligence for Unstructured Data Processing by Yohanes Bowo Widodo, Febrianti Widyahastuti, Mohammad Narji, Sondang Sibuea

“…In the digital era, the volume of unstructured data such as text, images, audio, and video continues to increase exponentially. …”
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Ground Segmentation for LiDAR Point Clouds in Structured and Unstructured Environments Using a Hybrid Neural–Geometric Approach by Antonio Santo, Enrique Heredia, Carlos Viegas, David Valiente, Arturo Gil

“…The method hierarchically partitions point clouds into adaptive sectors, leveraging PCA-derived geometric features and dynamic variance thresholds for robust terrain modeling, while a SCNN resolves ambiguities in data-sparse regions. Evaluated in structured (SemanticKITTI) and unstructured (Rellis-3D) environments, two different versions of the proposed method are studied, including a purely geometric method and a hybrid approach that exploits deep learning techniques. …”
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Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database. by Anoop D Shah, Anuradhaa Subramanian, Jadene Lewis, Samir Dhalla, Elizabeth Ford, Shamil Haroon, Valerie Kuan, Krishnarajah Nirantharakumar

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Big Data Analytics For Organizations: Challenges and Opportunities and Its Effect on International Business Education by Twana Saeed Ali, Tugberk Kaya

Subjects: “…Big data, storage, structured and unstructured data, disk, velocity, volume, Dashboard…”
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