Article
Computer Science, Artificial Intelligence
Bozena Malysiak-Mrozek, Jadwiga Wieszok, Witold Pedrycz, Weiping Ding, Dariusz Mrozek
Summary: This article introduces the FuzzyHive library, which extends the Hive framework with fuzzy set techniques for flexible querying, analyzing, and reporting in big data warehouses. Through experiments, it is demonstrated that these extensions are efficient and provide new solutions for fuzzy data processing and querying in large datasets.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Incheon Paik
Summary: Stable periodic-frequent itemset mining is important in big data analytics, and this paper proposes a framework to discover such itemsets in columnar databases. A novel depth-first search algorithm is employed to compress the columnar database into a unified dictionary and recursively mine it to find all stable periodic-frequent itemsets. Experimental results show that the proposed algorithm is computationally efficient and scalable.
Article
Computer Science, Information Systems
Besma Khalfi, Cyril de Runz, Sami Faiz, Herman Akdag
Summary: In this paper, a new methodology is presented to address storage issues and validate the consistency of fuzzy spatial entities in a document-based NoSQL system. A logical model called Fuzzy GeoJSON schema is introduced to better represent the structure of fuzzy geospatial data, and a schema-driven pipeline based on this schema and semantic constraints is implemented for consistent storage.
IEEE TRANSACTIONS ON BIG DATA
(2021)
Review
Ophthalmology
Mashal Akhter, Brian Toy
Summary: The availability of more health-related data has allowed for a better understanding of the epidemiology and risk factors of ocular inflammatory diseases, providing valuable information for treatment. While there are advantages to using large databases, clinicians should also be aware of limitations such as the lack of standardization in terminology and coding. As more robust datasets become available, clinicians and scientists can leverage these tools to enhance their understanding of disease pathophysiology and improve patient management.
ASIA-PACIFIC JOURNAL OF OPHTHALMOLOGY
(2021)
Article
Electrochemistry
Ivano E. Castelli, Daniel J. Arismendi-Arrieta, Arghya Bhowmik, Isidora Cekic-Laskovic, Simon Clark, Robert Dominko, Eibar Flores, Jackson Flowers, Karina Ulvskov Frederiksen, Jesper Friis, Alexis Grimaud, Karin Vels Hansen, Laurence J. Hardwick, Kersti Hermansson, Lukas Koeniger, Hanne Lauritzen, Frederic Le Cras, Hongjiao Li, Sandrine Lyonnard, Henning Lorrmann, Nicola Marzari, Leszek Niedzicki, Giovanni Pizzi, Fuzhan Rahmanian, Helge Stein, Martin Uhrin, Wolfgang Wenzel, Martin Winter, Christian Woelke, Tejs Vegge
Summary: Open access to research data is crucial for accelerating research progress, prompting grant authorities to request detailed data management plans. Recently, a plan was developed for the EU H2020 BIG-MAP project, aiming to discover disruptive battery materials. Extensive sharing of research data within the entire battery community is essential for achieving this goal.
BATTERIES & SUPERCAPS
(2021)
Review
Chemistry, Multidisciplinary
Ruo Xi Yang, Caitlin A. McCandler, Oxana Andriuc, Martin Siron, Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson
Summary: The recent rise of computational, data-driven research has the potential to greatly accelerate materials discovery, especially in the field of nanomaterials. This review discusses the recent progress in data-driven research for functional materials design and guided synthesis, and explores the distinct behaviors of materials at the nanoscale and their implications for research.
Review
Microbiology
Zachary Ardern, Sagarika Chakraborty, Florian Lenk, Anne-Kristin Kaster
Summary: Annotating protein sequences is crucial for understanding microbial diversity and potential applications, but traditional methods are limited by the vast amount of 'omics' data. Hypothetical proteins (HPs) are a knowledge gap with hidden potential. Artificial intelligence (AI) and machine learning algorithms offer opportunities to leverage 'Big Data' for comprehensive genome annotations. This review explores the aims, methods, and recent research examples of protein annotation, with a focus on machine and deep learning algorithms.
FEMS MICROBIOLOGY REVIEWS
(2023)
Review
Urology & Nephrology
Navchetan Kaur, Sanchita Bhattacharya, Atul J. Butte
Summary: A wide range of data sources are available in nephrology, which can be used to obtain novel insights, facilitate personalized medicine, and improve patient care. Challenges exist in accessing, coordinating, and ensuring data quality, but efforts to make data freely accessible, increase awareness, and apply advanced algorithms will help promote the use of big data in nephrology.
NATURE REVIEWS NEPHROLOGY
(2021)
Article
Computer Science, Information Systems
Palla Likhitha, Penugonda Ravikumar, Deepika Saxena, Rage Uday Kiran, Yutaka Watanobe
Summary: Finding periodic-frequent patterns in temporal databases is a significant data mining problem. This paper proposes a solution to discover the top-k periodic-frequent patterns in a database.
Article
Computer Science, Information Systems
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
Summary: The size of large, geo-located datasets has reached a scale where visualization of all data points is inefficient, leading to the need for subsampling methods. This study introduces a spatial data subsampling method suitable for very large datasets, showing it to be more accurate than random sampling. Additionally, a method is presented to ensure that the truncation of low values in the sampled data does not omit any regions above the desired threshold.
IEEE TRANSACTIONS ON BIG DATA
(2021)
Editorial Material
Computer Science, Information Systems
Anand Paul, Naveen Chilamkurti, Awais Ahmad, Syed Hassan Ahmed
Summary: In an era of rapid technological advancement, the healthcare sector is undergoing a transformative revolution. The integration of distributed Big Data intelligence with instant e-healthcare services has blurred the boundaries between medicine, artificial intelligence, and data science, leading to innovative solutions that redefine patient care. The rise of personalized medicine, powered by machine learning, graph-based techniques, and real-time analysis, not only represents a technological triumph but also a testament to human ingenuity in tackling complex diseases, soaring healthcare costs, and the growing demand for precision and efficiency.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Ruijie Tian, Huawei Zhai, Weishi Zhang, Fei Wang, Yao Guan
Summary: This article summarizes the spatio-temporal big data indexing methods proposed by domestic and foreign researchers from 2010 to 2020, and proposes the hot issues that need to be paid attention to in the future according to changes in application requirements.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Review
Biochemical Research Methods
Ziaurrehman Tanoli, Umair Seemab, Andreas Scherer, Krister Wennerberg, Jing Tang, Markus Vaha-Koskela
Summary: Drug repurposing involves hypothesis building, understanding relevant data, and facing challenges in selecting databases, which is further complicated by the lack of data overview.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Computer Science, Information Systems
Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo, Mostafa Rahimi Azghadi
Summary: The Internet of Underwater Things (IoUT) is intricately linked with intelligent boats and ships, facing challenges in underwater communications. Big Marine Data (BMD) generates massive amounts of data, requiring customized machine learning solutions for processing. This article discusses IoUT, BMD, and their synthesis, aiming to inspire research and innovation in the field.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Computer Science, Artificial Intelligence
Bruno Silva, Jose Moreira, Rogerio Luis de C. Costa
Summary: In the field of decision-making, there is a growing need for real-time data that traditional solutions cannot meet. Existing logical data integration solutions also present challenges as they require users to focus on data details rather than analytics. EasyBDI is an open-source system that offers logical data integration and business-oriented abstractions. It automatically identifies partitioned data and proposes a global schema, allowing users to retrieve data from distributed sources without technical knowledge. Experimental results show minimal overhead compared to distributed query execution times.
DATA & KNOWLEDGE ENGINEERING
(2023)
Article
Biology
Weiqi Li, Chunwang Li, Zhigang Jiang, Rui Guo, Xiaoge Ping
BIOLOGICAL RHYTHM RESEARCH
(2019)
Article
Ecology
Na Li, Yuehua Sun, Hongjun Chu, Yingjie Qi, Lan Zhu, Xiaoge Ping, Chunwang Li, Zhigang Jiang
ECOLOGY AND EVOLUTION
(2019)
Article
Multidisciplinary Sciences
Paras Bikram Singh, Kumar Mainali, Zhigang Jiang, Arjun Thapa, Naresh Subedi, Muhammad Naeem Awan, Orus Ilyas, Himal Luitel, Zhixin Zhou, Huijian Hu
SCIENTIFIC REPORTS
(2020)
Article
Zoology
S. Cui, D. Chen, J. Sun, H. Chu, C. Li, Z. Jiang
JOURNAL OF ZOOLOGY
(2020)
Correction
Multidisciplinary Sciences
Paras Bikram Singh, Kumar Mainali, Zhigang Jiang, Arjun Thapa, Naresh Subedi, Muhammad Naeem Awan, Orus Ilyas, Himal Luitel, Zhixin Zhou, Huijian Hu
SCIENTIFIC REPORTS
(2020)
Article
Ecology
Jianchao Liang, Zhifeng Ding, Zhigang Jiang, Xiaojun Yang, Rongbo Xiao, Paras Bikram Singh, Yiming Hu, Keji Guo, Zhixiang Zhang, Huijian Hu
Summary: This study evaluated the response and vulnerability of habitat connectivity to climate change for endemic ungulate species on the Tibetan Plateau, revealing that climate-driven habitat variations may lead to a disproportionate decrease in habitat connectivity. The existing protected areas on the plateau are not robust enough for the conservation of these species, suggesting the need for adjustments to address conservation gaps.
News Item
Biodiversity Conservation
Zhigang Jiang, Chunwang Li, Chenchen Ding
Letter
Multidisciplinary Sciences
Aichun Xu, Zhigang Jiang, Chunlin Li
Article
Biodiversity Conservation
Chenchen Ding, Jie Liu, Chunwang Li, Zhigang Jiang
Summary: The study indicates that the hog deer in China may have been extirpated from its historical range due to habitat loss and overhunting. Conservation priorities for this species in China include establishing a protected area in the Nanting River watershed, restoring habitat, and reintroducing individuals from range countries.
Letter
Multidisciplinary Sciences
Dongni Liang, Yaxin Liu, Xiaoge Ping, Zhigang Jiang, Chunwang Li
Article
Agriculture, Dairy & Animal Science
Na Li, Yueqiang Liu, Hongjun Chu, Yingjie Qi, Xiaoge Ping, Chunwang Li, Yuehua Sun, Zhigang Jiang
Summary: This study aims to explore bird composition variation in mountain, riparian, and desert landscapes, as well as the connectivity and environmental factors that influence species distribution. The results show high beta diversity and a significant contribution of turnover components in all four landscapes. Connectivity is the most important factor driving bird community composition variation in mountain, riparian, and desert landscapes, while spatial factors are more influential in the overall landscape. The findings emphasize the importance of regional-scale conservation efforts and the preservation of stepping-stone habitats with good connectivity.
Review
Agriculture, Dairy & Animal Science
Mardan Aghabey Turghan, Zhigang Jiang, Zhongze Niu
Summary: The Przewalski's horse, the only remaining wild horse species, was extinct in the wild in the 1960s. Captive breeding projects have successfully saved the species from extinction, but challenges such as loss of genetic diversity, inbreeding depression, hybridization with domestic horses, and lack of prevention strategies and treatments still need to be addressed. This review summarizes the studies on Przewalski's horse since its extinction in the wild, focusing on reintroduction projects in Mongolia and China.
Article
Multidisciplinary Sciences
Zhigang Jiang
CHINESE SCIENCE BULLETIN-CHINESE
(2020)
Article
Biodiversity Conservation
Zhigang Jiang, Hao Zong
NATURE CONSERVATION RESEARCH
(2019)
Article
Multidisciplinary Sciences
Paras Bikram Singh, Janak Raj Khatiwada, Pradip Saud, Zhigang Jaing
SCIENTIFIC REPORTS
(2019)