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Arnetminer: Deep Analysis and Mining for Academic

2012-1-31  Arnetminer: Deep Analysis and Mining for Academic Social Networks

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ArnetMiner: Extraction and Mining of Academic Social

2012-1-31  topical aspects of different types of information in the academic network. 2.4 Academic Search For academic search, several research issues have been inten-sively investigated, for example expert finding and association search. Expert finding is one of the most important issues for mining

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ArnetMiner Proceedings of the 14th ACM SIGKDD ...

2008-8-24  This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting researcher profiles automatically from the Web; 2) Integrating the publication data into the network from existing digital libraries; 3) Modeling the entire academic network; and 4) Providing search services for the ...

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Arnetminer

2019-7-13  data mining, machine learning, social network, deep learning, healthcare, organic light-emitting diodes Tim Berners-Lee , Jon Kleinberg , Jiawei Han , Geoffrey Hinton T rajectory

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AMiner - AI Powered Academic Network Mining

AMiner aims to provide comprehensive search and mining services for researcher social networks. We focus on: Semantic-based profile for researchers; Integrating academic data; Accurately searching the heterogeneous network; Analyz

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ArnetMiner: Extraction and Mining of Academic Social ...

2020-7-23  ArnetMiner: Extraction and Mining of Academic Social NetworksABSTRACTThis paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1

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Open Data - AMiner - AI Powered Academic Network Mining

Open Academic Graph. This data set is generated by linking two large academic graphs Microsoft Academic Graph ( strong MAG ) and AMiner. The data set is used for research purpose only. This version includes 166,192,182 papers from MAG and 154,771,162 papers from AMiner. We generated 64,639,608 linking (matching) relations between the two graphs.

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Jie Tang (Tang, Jie) 's Homepage

2021-7-28  Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08

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ArnetMiner – A Review_weixin_30651273的博客-CSDN博客

2012-4-10  Total:62. Details: As the introduction in ArnetMiner said "ArnetMiner aims to provide comprehensive search and mining services for researcher social networks". It is different from many other academic search such as: Google scholar.

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AMiner - AI赋能科技情报挖掘

AMiner - AI赋能科技情报挖掘. Knowledge Intelligence. Edge computing, Quantum Computing, Semantic Web, Bioinformatics, Long non-coding RNA. ICLR 2021: Sergey Levine, Caiming Xiong, Tengyu Ma, Richard Socher, Shaolei Du. Topics: 悟道模型相关论文, Knowledge Graph Reasoning, Multimodal Sentiment Analysis, Federated Learning, Legal ...

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Arnetminer - findatwiki

Overview. ArnetMiner (AMiner) is designed to search and perform data mining operations against academic publications on the Internet, using social network analysis to identify connections between researchers, conferences, and publications. This allows it to provide services such as expert finding, geographic search, trend analysis, reviewer recommendation, association search, course search ...

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Wikizero - Arnetminer

Overview []. ArnetMiner (AMiner) is designed to search and perform data mining operations against academic publications on the Internet, using social network analysis to identify connections between researchers, conferences, and publications. This allows it to provide services such as expert finding, geographic search, trend analysis, reviewer recommendation, association search, course search ...

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Open Data - AMiner - AI Powered Academic Network Mining

Open Academic Graph. This data set is generated by linking two large academic graphs Microsoft Academic Graph ( strong MAG ) and AMiner. The data set is used for research purpose only. This version includes 166,192,182 papers from MAG and 154,771,162 papers from AMiner. We generated 64,639,608 linking (matching) relations between the two graphs.

Get Price

Jie Tang (Tang, Jie) 's Homepage

2021-7-28  Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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Analysis of Machine Learning and Deep ... -

Furthermore, recent advances in deep learning like the application of the Recurrent Neural Network (RNN) in many opinion mining tasks where Long Short-term Memory (LSTM) and Bidirectional Long Short-term Memory (Bi-LSTM) have produced optimal results by considering sentiment analysis as a sequence problem.

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(PDF) A Brief Analysis on Data Mining for Deep-Sea

The mining analysis of deep-sea mineral reso urces data is to solve the data analysis of large historical accu mulation, non - uniform standard and various format, which needs integration of multi ...

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(PDF) Student’s Performance Prediction using Deep

The academic performance measure of students is a challenging issue since the variables are correlated and non-linear. For that why, the classical methods and machine learning techniques fail to ...

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Hazard analysis: A deep learning and text mining

2020-10-1  The network analysis method is proposed to establish hazard word co-occurrence network of hazard records for further content deep analysis and visual representation. As a text mining technology, the proposed keyword cloud is used to give an intuitive and visually appealing overview of text data by depicting the keywords that occur most often ...

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Social Network Analysis and Mining Home

2021-8-18  Social Network Analysis and Mining (SNAM) is a multidisciplinary journal serving researchers and practitioners in academia and industry. It is the main venue for a wide range of researchers and readers from computer science, network science, social sciences, mathematical sciences, medical and biological sciences, financial, management and political sciences.

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中南大学 戴瑜 - Central South University

2010-9-7  [28] Numerical analysis on hydrodynamic characteristics for deep-sea mining vehicle under different movement states. Ocean Engineering, 2021. (SCI, 海洋工程领域TOP1期刊) [27] Validation and application of CFD method to gas-liquid two-phase flow in oil jet ...

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A Brief Analysis on Data Mining for Deep-Sea Mineral ...

2019-1-1  Data Mining on Deep-Sea Mineral Resources Aiming at the acquisition of deep-sea mineral resources, development and analysis demand of data and big data, the related big data technologies were carried on to analysis the accumulated data of deep-sea mineral resources with large amount and complex types, and considering from the value chain link ...

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(PDF) A Brief Analysis on Data Mining for Deep-Sea Mineral ...

The mining analysis of deep-sea mineral reso urces data is to solve the data analysis of large historical accu mulation, non - uniform standard and various format, which needs integration of multi ...

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Regression analysis of student academic performance using ...

2020-7-27  Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep

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Social Network Analysis and Mining Home

2021-8-18  Social Network Analysis and Mining (SNAM) is a multidisciplinary journal serving researchers and practitioners in academia and industry. It is the main venue for a wide range of researchers and readers from computer science, network science, social sciences, mathematical sciences, medical and biological sciences, financial, management and political sciences.

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Hazard analysis: A deep learning and text mining framework ...

For example, Zhong et al [245] designed a novel framework incorporating deep learning and text mining for the purpose of more than topic identification and hazard classification, which could also ...

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Risk Analysis and Extension Assessment for the Stability ...

In order to evaluate the surrounding rock stability of deep roadways, the diversity of accident hazard sources in deep coal mining is statistically analyzed. To conduct an effective evaluation, first, the risk analysis of the factors affecting the rock mass accidents is carried out, and the comprehe

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Configuration and Performance Analysis of Deep Ocean ...

Request PDF Configuration and Performance Analysis of Deep Ocean Mining Flexible Riser Deep-sea minerals such as polymetallic nodule, hydrothermal sulphides and ferro-manganese crusts have for ...

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A Study on Sentiment Analysis Techniques of Twitter Data

2019-2-28  Sentiment analysis (or opinion mining) is a common dialogue preparing task that aims to discover the sentiments behind opinions in texts on varying subjects. In recent years, researchers in the field of sentiment analysis have been concerned with analyzing opinions on different topics such as ...

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Google Scholar

Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.

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Bioinformatics Oxford Academic

Bioinformatics is an official journal of the International Society for Computational Biology, the leading professional society for computational biology and bioinformatics. Members of the society receive a 15% discount on article processing charges when publishing Open Access in the journal. Read papers from the ISCB. Find out more.

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