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Welcome Message from Conference Organizers

2019 2019 IEEE International Conference on Big Knowledge (ICBK)  
Welcome to IEEE ICBK 2019, the 10 th IEEE International Conference on Big Knowledge, and to Beijing, China! Beijing is China's capital, and has a history of 3 millennia.  ...  The IEEE International Conference on Big Knowledge (ICBK) is a premier international forum for the presentation of original research results in Big Knowledge opportunities and challenges, as well as for  ...  Wu and Ramamohanarao Kotagiri, ICBK 2019 Conference Chairs 10-11 November 2019 in Beijing, China xi  ... 
doi:10.1109/icbk.2019.00005 fatcat:yjftw3kpzbdcjoqo3dpxxbsviy

Editorial of Special Issue of ICDM 2019

Wei Shen, Wei Zhang, Jianhua Yin, Jianyong Wang
2020 Data Science and Engineering  
The 19th IEEE ICDM was held in Beijing, China, from 8 to 11 November 2019 and attracted a record-breaking number of 1046 paper submissions from 52 different countries/regions.  ...  Since its inception in 2001, the IEEE International Conference on Data Mining (ICDM) has become a premier forum to exchange and disseminate original research results and new research directions in data  ...  The eight extended papers in this special issue cover a variety of topics related to data science and engineering.  ... 
doi:10.1007/s41019-020-00127-z fatcat:ynfatr3i2rf3bmommextrqto7i

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations [article]

Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2021 arXiv   pre-print
, Beijing 100029, China.  ...  joint entity-relation extraction,” in Proceedings of the Twenty-Ninth TPAMI, IEEE TKDE, IEEE TNNLS, IEEE TMM, International Joint Conference on Artificial Intelligence  ... 
arXiv:2106.12384v2 fatcat:blyylym77vdupbrolil2dtmrna

A Survey of Deep Active Learning [article]

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang
2021 arXiv   pre-print
Deep learning (DL) is greedy for data and requires a large amount of data supply to optimize massive parameters, so that the model learns how to extract high-quality features.  ...  In recent years, due to the rapid development of internet technology, we are in an era of information torrents and we have massive amounts of data.  ...  In 2017 IEEE International Conference on Data Mining (ICDM). 575–584. [245] Donggeun Yoo and In So Kweon. 2019. Learning Loss for Active Learning.  ... 
arXiv:2009.00236v2 fatcat:zuk2doushzhlfaufcyhoktxj7e

Value-Oriented Requirements: Eliciting Domain Requirements from Social Network Services to Evolve Software Product Lines

Ali, Hong
2019 Applied Sciences  
In order to justify our proposed approach, a controlled experiment was conducted on a sample set of end-users on Facebook and Twitter.  ...  From a software engineering perspective, such data can be collected and analyzed to help software development organizations to infer users' emerging demands, receive their feedback, and plan the rapid  ...  In Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM 2007), Omaha, NE, USA, 28–31 October 2007; pp. 697–702. 29.  ... 
doi:10.3390/app9193944 fatcat:nivq7bq4kbgehpmf3gyshxu56a

Using Real-Time Data and Unsupervised Machine Learning Techniques to Study Large-Scale Spatio–Temporal Characteristics of Wastewater Discharges and their Influence on Surface Water Quality in the Yangtze River Basin

Zhenzhen Di, Miao Chang, Peikun Guo, Yang Li, Yin Chang
2019 Water  
This study demonstrates how unsupervised machine learning algorithms play an objective and effective role in data mining real-time monitoring information and highlighting spatio–temporal relationships  ...  Most worldwide industrial wastewater, including in China, is still directly discharged to aquatic environments without adequate treatment.  ...  The expectation-maximization (EM) and k-means algorithms belong to the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006 [26] and have  ... 
doi:10.3390/w11061268 fatcat:l4crbg77tjcdtg5pwevozq4k6q

Mapping (Dis-)Information Flow about the MH17 Plane Crash

Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein
2019 Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda   unpublished
ii Preface Welcome to the second edition of the Workshop on Natural Language Processing for Internet Freedom (NLP4IF 2019). This year, we focused on censorship, disinformation, and propaganda.  ...  We further featured a shared task on the identification of propaganda in news articles. The task included two subtasks with different levels of complexity.  ...  The corpus for the task was annotated by A Data Pro, 7 a company that performs high-quality manual annotations.  ... 
doi:10.18653/v1/d19-5006 fatcat:77l3dndrkvfmlhjt6qvnrassgi

Διερεύνηση της γεωλογικής δομής και της τεκτονικής παραμόρφωσης της Σερβομακεδονικής Μάζας στα όρη των Κερδυλλίων και Βερτίσκου (Βόρεια Ελλάδα)

Αναστάσιος Π. Πλούγαρλης
2020
In recent decades, an effort has been made to review the region occupied by the Hellenic Hinterland, based on laboratory results such as geochemical analyses, radio dating, etc., while classical field  ...  In IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018, pages 597–606. IEEE Computer Society. Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R.  ...  In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, pages 413–422. Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou. 2012.  ... 
doi:10.26262/heal.auth.ir.327189 fatcat:snneggenqzdnvbl7kn7zpztqqq