The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 229-237, 2020. We invite original technical research contributions in all aspects of the data science lifecycle including but not limited to: data cleaning and preparation, data transformation, mining, inference, learning, explainability, data privacy and dissemination of results. ACM SIGKDD Conference on Knowledge Discovery and Data Mining: 2020-02-13: 2020-08-22: Attend Conferences. Proc. Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year. Submissions which propose “new” inference tasks are strongly encouraged. SIGKDD is the premier Data Science conference. Conference papers of each Proceedings of the SIGKDD International Conference on Knowledge Discovery and Data Mining are published through ACM. In each of these topics we seek submissions which highlight the trade-off between accuracy, stability, robustness and efficiency. The Journal of the ACM is a peer-reviewed scientific journal covering computer science in general, especially theoretical aspects. It is based on the idea that 'all citations are not created equal'. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric. Explainability: As data science models are becoming part of daily human activity there is a need, often being expressed in law, that the models be fair, interpretable and provide mechanisms to explain how a prediction or decision by the model was arrived at. journal self-citations removed) received by a journal's published documents during the three previous years. Interpretable models will lead to their wider acceptance in the society at large and increase the value of Data Science as a discipline in its own right. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from The users of Scimago Journal & Country Rank have the possibility to dialogue through comments linked to a specific journal. Conf. SIGKDD Explorations (the Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining) Most relevant journal in big data mining, many most useful articles come from it. The call for SIGKDD Impact Program proposals resulted in a broad participation with 75 submissions from 20 countries, covering a wide range of topics. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. Other titles: ACM SIGKKDD explorations newsletter Explorations Special Interest Group on Knowledge Discovery & Data Mining explorations Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. OSDI: 3.31 (top 0.08%) 2. It is an official journal of the Association for Computing Machinery. Data Source: Scopus®, Metrics based on Scopus® data as of April 2020. For topics on particular articles, maintain the dialogue through the usual channels with your editor. Full Name Conference Location; No results found. Available in print and online, ACM's high-impact, peer-reviewed journals constitute a vast and comprehensive archive of computing innovation, covering emerging and established computing research for both practical and theoretical applications. "Content-rich recommendation: Integrating Network, Text and Spatial-Temporal Dimensions". Data Cleaning and Preparation: A significant part of the data science lifecycle is spent on data cleaning and preparation. Maintain the new SIGKDD and KDD Conference websites featuring state-of-art sharing and social media connections; SIGKDD Impact Program supports projects that promote data science, increase its impact on society, and help the data science community. Gaborski, 7th ACM SIGKDD Workshop on Multimedia Data Mining, Seattle, WA, USA, August 2004. Data Transformation and Integration: The process of mapping data from one representation into another is at the heart of data science. The impact factor (IF), also denoted as Journal impact factor (JIF), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. I have taken some of the top data mining journals above and obtained their Impact Factor from 2014/2015 or 2013, when I could not find the information for 2015. SIGKDD: The community for data mining, data science and analytics. We seek original contributions which address the trade-off between the complexity of the transformation and algorithmic efficiency. CCF CORE QUALIS Short Full Name Conference Location; No results found. Learning-based approaches for data cleaning and preparation which are generalizable and adaptive across domains are highly sought. Impact factor: 1.935. link; Md Abdul Kader, Arnold P. Boedihardjo, Sheikh Motahar Naim, M. Shahriar Hossain. Liang Zhao, Amir Alipour-Fanid, Martin Slawski and Kai Zeng. SIGKDD BigMine, 2016. Machine Learning & Artificial Intelligence, ICCMB 2021 : 2021 The 4th International Conference on Computers in Management and Business, ICDIP 2021 : The 13th International Conference on Digital Image Processing, ICCAR 2021 : The 7th International Conference on Control, Automation and Robotics, WCSA 2021 : International Workshop on Control Sciences and Automation, Computational Linguistics & Speech Processing, Ranking for Top Computer Science Universities 2020, Ranking for Top Scientists in Computer Science and Electronics 2020, 6th Edition, Ranking for Top Scientists in Computer Science and Electronics 2019, 5th Edition, Ranking for Top Scientists in Computer Science and Electronics 2018, Special Issues for Journals With Impact Factor, 2017/2017, Conference Ranking : Top Computer Science Conferences, 2017/2017, Impact Factor for Top Journals of Computer Science and Electronics, 2017, Impact Factor for Top Journals of Computer Science and Electronics, 2016, Impact Factor for Top Journals of Computer Science and Electronics, 2015, How to chart a successful research career by Prof Alan Johnson, Top H-Index for Scholars of Computer Science & Electronics, 2014, 27 (Since 1994). Publication details obtained from DBLP by Michael Ley. International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address. ACM publishes more than 50 scholarly peer-reviewed journals in dozens of computing and information technology disciplines. SIGKDD would like to direct its success towards a broader positive societal impact. Become a Member. Submission Deadline Saturday 01 Feb 2020 ... Impact Factor for Top Journals of Computer Science and Electronics, 2015; * Required. The KDD Conference grew from KDD (Knowledge Discovery and Data Mining) workshops at AAAI conferences, which were started by Gregory I. Piatetsky-Shapiro in 1989, 1991, and 1993, and Usama Fayyad in 1994. ISSN: 1931-0145 (Print) 1931-0153 (Electronic) 1931-0145 (Linking) Impact Factor. Member benefits include KDD discounts, KDD partner discounts, the … Model Dissemination: Migrating a data science model from a research lab to a real world deployment is non-trivial and potentially a continuous ongoing process. (impact factor = 3.609) Yi Chang, Xuanhui Wang, Qiaozhu Mei, and Yan Liu, "Towards Twitter context summarization with user influence models," in Proceedings of the sixth ACM international conference on Web search and data mining (WSDM'13), pp. Beyond the Buzzword: Big Data and National Security Decision-making. 246-259, September, 2013. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Impact Factor 12.04, IF, number of citations, detailed analysis and journal factor. Extracting Social Networks from Instant Messaging Populations, J. Resig, S. Dawara, C. M. Homan, and A. Teredesai, Proceedings of the 7th ACM SIGKDD Workshop on Link KDD, August 2004. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 2.775), to appear, 2019. The goal of the program is to support projects that promote data science, increase its impact on society, and help the data science community. (19% acceptance) 2012 External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents. Send this CFP to us by mail: cfp@ourglocal.org. Evolution of the number of total citation per document and external citation per document (i.e. In several domains, data cleaning tasks continue to be rule-based and are often brittle, i.e., they break down in face of a constantly changing and evolving environment. We seek technical contributions that advance the state of data science methods while guaranteeing individual privacy, respect for societal norms and ethical integrity. We invite original technical research contributions in all aspects of the data science lifecycle including but not limited to: data cleaning and preparation, data transformation, mining, inference, learning, explainability, data privacy and dissemination of results. Now, another popular way of ranking journals is using their impact factor (IF). ACM SIGKDD Explorations Newsletter | SIGKDD's primary focus is to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data mining. [Impact factor: 2.422] 6. 50, pp. Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers. Part of the purpose of the h-index is to eliminate outlier publications that might give a skewed picture of a scientist's impact. Project duration is one year with the possibility of being extended. Here is the result: The first author was supervised by Hongzhi Yin.) Theannual ACM SIGKDD conference is the premier international forum for data science, data mining, knowledge discovery and big data. Conference history. 1. Zhan Bu, Chengcui Zhang, Zhengyou Xia and Jiandong Wang, “Discovering the latent communities in online channels with the similar-view network model and the fast parallel modularity optimization algorithm,” Knowledge-Based Systems, vol. SIGKDD 2020 : ACM SIGKDD International Conference on Knowledge discovery and data mining in Conferences Posted on September 5, 2019. Tracked Journals. The mission of KDD is to promote the rapid maturation of the field of knowledge discovery in data and data-mining. Your Style Your Identity: LeveragingWriting and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network, The Web Conference (WWW 2019), short paper, (acceptance rate: 20%), to appear, 2019. A paper should either be submitted to the Research or the Applied Science track but not both. Abbreviation: SIGKDD Explor. (Track Acceptance Rate 12%) (ISI conference impact factor 1.28) Extracting Social Networks from Instant Messaging Populations, J. Resig, S. Dawara, C. M. Homan, and A. Teredesai, Proceedings of the 7th ACM SIGKDD Workshop on Link KDD, August 2004. Its current editor-in-chief is Éva Tardos (Cornell University).. [47] Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda. [Impact factor: 0.912] 5. The mapping can be query driven, based on a statistical task or might involve integrating data from myriad sources. It is certainly not. The impact factor (IF) 2018 of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 12.04, which is computed in 2019 as per it's definition. Prediction-time Efficient Classification Using Feature Computational Dependencies. Follow us on @ScimagoJRScimago Lab, Copyright 2007-2020. Impact factor: 4.476 2019 Journal Citation Reports (Clarivate Analytics): 27/136 (Computer Science, Artificial Intelligence) 12/108 (Computer Science, Theory & Methods) Online ISSN: 1942-4795 The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric. International Affairs Journal. SIGKDD is the premier Data Science conference. Guide2Research uses the information to contact you about our relevant content. [WWW 2019] Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong. We seek research submissions which highlight and address technical and behavioral challenges during model deployment, feedback and upgradation. Yizhou Sun, Xiang Ren, Hongzhi Yin. (Track Acceptance Rate 20%) (ISI conference impact factor … KDD 2021 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. For more information, check out our privacy policy. The purpose is to have a forum in which general doubts about the processes of publication in the journal, experiences and other issues derived from the publication of papers are resolved. Published an article titled, “Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems” (coauthored with Jingjing Gu, Qiang Zhou, Yanchi Liu, Fuzhen Zhuang, and Hui Xiong) in IEEE Transactions on Knowledge and Data Engineering (TKDE, impact factor: 5.876), Accepted, 2020. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. 4) Impact factor ranking. The journal was established in 1954 and "computer scientists universally hold the Journal of the ACM in high esteem". 7 proposals from 5 countries were awarded funding according to the program selection criteria: enhancing data science community engagement, expanding outreach of data science, increasing diversity and participation in data science, increasing societal impact of data science…