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Mining and searching association relation of scientific papers based on deep learning [article]

Jie Song and Meiyu Liang and Zhe Xue and Feifei Kou and Ang Li
2022 arXiv   pre-print
Therefore, the research on mining and searching the association relationship of scientific papers based on deep learning has far-reaching practical significance.  ...  The phenomenon reveals the data characteristics, laws, and correlations contained in the data of scientific and technological papers in specific fields, which can realize the analysis of scientific and  ...  Mining of Association Relationships of Scientific and Technological Papers Traditional association relation mining tasks are all based on the semantic association [59][60] learning method, which can  ... 
arXiv:2204.11488v1 fatcat:zxwvpnids5bopberzumjofgupq

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning

Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W Cohen, Eric P Xing
2019 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
We take advantage of the efficiency of biomedical text-mining, the exibility of deep reinforcement learning, and the massive amount of knowledge collected in UMLS into an integrative artificial intelligent  ...  biomedical text-mining has been one of the answers to this challenge.  ...  Data Within the scope of this paper, Eir focus on constructing the knowledge base for gene-trait association relationship of human.  ... 
pmid:30864315 pmcid:PMC6417822 fatcat:elabuevhtfdmpgwm6tlfpn57aq

Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning [article]

Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing
2018 bioRxiv   pre-print
We take advantage of the efficiency of biomedical text-mining, the flexibility of deep reinforcement learning, and the massive amount of knowledge collected in UMLS into an integrative arti-ficial intelligent  ...  biomedical text-mining has been one of the answers to this chal-lenge.  ...  Data Within the scope of this paper, Eir focus on constructing the knowledge base for gene-trait association relationship of human.  ... 
doi:10.1101/434803 fatcat:3u5ilcozlffxdpwvohbbabi4ne

3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022)

Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
AI and Machine Learning (ML) methods such as Deep Learning (DL) are successfully adopted in many domains, so patent researchers and practitioners start to employ AI-based approaches as well, to support  ...  The focus of the 3rd edition of this workshop will be on two-way communication between industry and academia from all areas of Information Retrieval, such as Natural Language Processing (NLP), Text and  ...  MAIN TOPICS The purpose of this workshop is to motivate researchers in academia and industry to explore, among others, • text and data mining methods, in particular deep learning based methods, • semantic  ... 
doi:10.1145/3477495.3531702 fatcat:majeyjdduncdhcnj72jxdfcorq

A Tool for Suggesting Ayurvedic Remedies from Curated and Classified Clinical Trial Reports

Sariga Raj, Priya P
2018 International Journal of Engineering & Technology  
This paper presents a survey on various text mining technologies developed to classify theories and literature pertaining to the clinical observations of practitioners and suggests a possible solution  ...  It requires great effort to search through huge number of published articles that provide information we need.  ...  This model improves performance of deep learning systems in biomedical text mining. Thomas Evangelidis et al.  ... 
doi:10.14419/ijet.v7i4.5.20038 fatcat:i7ks4r4kxvhfhaiwhur6qr5b7i

Literature Mining of Disease Associated Noncoding RNA in the Omics Era

Jian Fan
2022 Molecules  
The application of deep sequencing experiments in ncRNA research have generated massive omics datasets, which require rapid examination, interpretation and validation based on exiting knowledge resources  ...  Thus, text-mining methods have been increasingly adapted for automatic extraction of relations between an ncRNA and its target or a disease condition from biomedical literature.  ...  Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/molecules27154710 pmid:35897884 pmcid:PMC9331993 fatcat:qcr3vyy73febfa4svcc35sdche

Text Mining in Education—A Bibliometrics-Based Systematic Review

Alireza Ahadi, Abhay Singh, Matt Bower, Michael Garrett
2022 Education Sciences  
We analyse the metadata of all publications that use text mining or natural language processing in educational settings to report on the key themes of application of text mining methods in educational  ...  Moreover, developments in software engineering and web-based applications have made collection of education data possible at large scales.  ...  We report on the scientific contribution of different countries and higher education institutes to the field.  ... 
doi:10.3390/educsci12030210 fatcat:56bejt6kszeorljmrkauvzlxy4

Data-Driven Design-by-Analogy: State of the Art and Future Directions [article]

Shuo Jiang, Jie Hu, Kristin L. Wood, Jianxi Luo
2021 arXiv   pre-print
Based on both nuanced organic review and structured analysis, this paper elucidates the state of the art of data-driven DbA research to date and benchmarks it with the frontier of data science and AI research  ...  Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it can benefit designers  ...  The support from CU Denver's College of Engineering, Design and Computing (CEDC, https://engineering.ucdenver.edu/) and the Comcast Media  ... 
arXiv:2106.01592v1 fatcat:2bmwso6n4nf5rpvqcexbry4yky

Fraud Detection Using the Fraud Triangle Theory and Data Mining Techniques: A Literature Review

Marco Sánchez-Aguayo, Luis Urquiza-Aguiar, José Estrada-Jiménez
2021 Computers  
These could take too long to process fraud-related evidence. Data mining, machine learning, and, as of recently, deep learning strategies are being used to automate this type of processing.  ...  Many related techniques have been developed to analyze, detect, and prevent fraud-related behavior, with the fraud triangle associated with the classic auditing model being one of the most important of  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/computers10100121 fatcat:25nelllbezh6vfa7zkfwkqkh2m

A Pattern-Based Academic Reviewer Recommendation Combining Author-Paper and Diversity Metrics

Musa Ibrahim Musa Ishag, Kwang Ho Park, Jong Yun Lee, Keun Ho Ryu
2019 IEEE Access  
The HUI algorithms of Two Phase, IHUP, UP-Growth, FHM, FHN, HUINIV-Mine, D2HUP, and EFIM were compared on two real-world citation datasets related to Deep Learning and HUIM, in addition to the open source  ...  of a scientific paper.  ...  Erdenebileg Batbaatar for his contribution in writing a Java program that converts the raw citation records into a format suitable for the UP-Miner tool, and Ms.  ... 
doi:10.1109/access.2019.2894680 fatcat:3i7jmzhyobc3fbrwefkemojivu

Research on Cross-media Science and Technology Information Data Retrieval [article]

Yang Jiang and Zhe Xue and Ang Li
2022 arXiv   pre-print
Therefore, in view of the above research background, it is of profound practical significance to study the cross-media science and technology information data retrieval system based on deep semantic features  ...  , which is in line with the development trend of domestic and international technologies.  ...  Acknowledgment This work is supported by National Key R&D Program of China (2018YFB1402600), the National Natural Science Foundation of China (61772083, 61877006, 61802028, 62002027).  ... 
arXiv:2204.04887v1 fatcat:l3uq7stdjng3xhujllhe5pvdmu

Spring Festival Holiday Tourism Data Mining Based on the Deep Learning Model

Ruijun Wang, Ahmed Farouk
2022 Scientific Programming  
The paper introduces deep learning model and data mining technology, proposes that the recommendation system has three important modules, and obtains the corresponding flowchart.  ...  When users browse the website, they will record their search or click behavior, and the recommendation system will mine the data based on these data, and recommend the information they need for each user  ...  With the birth of the recommendation system, these problems are solved, and compared with the search engine, it has more personalized functions. e innovation of this paper is that the deep learning model  ... 
doi:10.1155/2022/9991794 fatcat:gq6o3jrw2rhepj7zrjcbwizgau

Preface to the 1st Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents at JCDL 2020

Chengzhi Zhang, Philipp Mayr, Wei Lu, Yi Zhang
2020 ACM/IEEE Joint Conference on Digital Libraries  
This paper proposes an unsupervised method based on sentence pattern and part of speech.  ...  Design and Implementation of an Academic Search System Based on a General Query Language and Automatic Question Answering This research designs and implements an academic search system with two major innovations  ... 
dblp:conf/jcdl/Zhang0LZ20a fatcat:mjk2fe3dmfbapa3rsowhjz26bi

Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences [article]

Runyu Yu and Zhe Xue and Ang Li
2022 arXiv   pre-print
Therefore, it is of great significance to use deep learning technology to mine the core information in the data of scientific and technological academic conferences, and to realize a knowledge graph and  ...  The convening of scientific and technological academic conferences will bring large number of academic papers, researchers, research institutions and other data, and the massive data brings difficulties  ...  Acknowledgment This work is supported by National Key R&D Program of China (2018YFB1402600), the National Natural Science Foundation of China (61772083, 61877006, 61802028, 62002027).  ... 
arXiv:2204.04888v1 fatcat:eimjd5wcirdxho46mm4b4vhmze

Trends in data mining research: A two-decade review using topic analysis

Yury Zelenkov, Ekaterina Anisichkina
2021 Business Informatics  
The results presented here shed light on the structure and trends of data mining over the past twenty years and allow us to expand our understanding of this scientific discipline.  ...  This work analyses the intellectual structure of data mining as a scientific discipline.  ...  Today, the most activity is observed in the field of deep learning, though, according to our results and analysis in [5, 6] , deep neural networks are not directly related to Data Mining.  ... 
doi:10.17323/2587-814x.2021.1.30.46 fatcat:24jaguofkvazxa66y6rggmjggu
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