I was not aware of the past problems of the KAIS journal with citations. According to their Help Center, it is somewhat similar to the H index but they don’t give the exact formula. In this blog post, I will look at four different rankings of data mining journals and conferences based on different criteria, and discuss these rankings. While there is now a glut of industry and business oriented conferences on Big Data and Data Science, the technology which powers the current boom in Big Data comes from research. This is quite strange. The most recent IFs put DMKD (or DAMI, as it is typically called in the field) just ahead again of TKDE: 2.714 vs. 2.476. Subjectively, I would rank TKDD and KAIS simply in tier two, just like IPL, CS&DA, SADM. Actually, since the FIMI workshop was not help since 2004, it should not be in this ranking. For an earlier look at the top conferences see 2011 KDnuggets post Top Conferences in Data Mining. 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. On overall, the Microsoft ranking seems to be broader than the Google ranking. A first ranking is the Google Scholar Ranking (https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng_datamininganalysis). Source By subscribing you accept KDnuggets Privacy Policy, industry and business oriented conferences on Big Data and Data Science, Google Scholar: Top publications - Data Mining & Analysis. Thus, it seems that Microsoft has no restrictions on time. Registration is available throughout the conference. The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. For example, the well-known KDD conference is ranked higher than all journals. Follow KDD on:Facebook—https://www.facebook.com/SIGKDDTwitter—https://twitter.com/kdd_newsLinkedIn—https://www.linkedin.com/groups/160888/, View original content to download multimedia:http://www.prnewswire.com/news-releases/kdd-2020-recognizes-winning-teams-of-24th-annual-kdd-cup-301138793.html, Dow klettert schlussendlich kräftig -- DAX schließt tiefer -- Dialog optimistischer -- Conti verhandelt über den Verkauf von Geschäftsteilen -- Disney, Daimler, Lufthansa im Fokus. Here are the Most Popular Python IDEs/Editors. Besides, it appears that the Microsoft ranking has no restriction on time (it does not consider only the last five years for example). This time it is lower than DMKD / DAMI (unlike in the Google Ranking) but still higher than TKDD. Field rating only calculates publications and citations within a specific field and shows the impact of the scholar or journal within that specific field.”. H5 (the Google measure) is not useful to assess the average quality of papers, but it is a good proxy for total impact on the field. Do you agree with these rankings? HeidelbergCement will nach Klage-Aus gegen EU-Veto Vorgehen prüfen. This shows that IF is not a perfect metric. „Für ein Investment in das Thema Cybersicherheit kann man nicht zu spät dran sein“, Renditefallen: Diese drei Biases sollten Anleger kennen, Dieses Geld-Geschenk bringt Ihnen bis zu 425.000 Euro, Wohlstand im Alter als Selbstständiger: Sorgenfreie Ruhestandsplanung, Die Rente versteuern - Alles was Sie wissen müssen. Für die aufgeführten Inhalte kann keine Gewährleistung für die Vollständigkeit, Richtigkeit und Genauigkeit übernommen werden. My subjective view is that they are both top-tier, with DAMI slightly ahead in quality. IDA is in my opinion a second or third tier journal. Thanks! Vorwürfe gegen QIAGEN wegen Steuervermeidung. KDnuggets 20:n37, Sep 30: Introduction to Time Series Analy... Get KDnuggets, a leading newsletter on AI, I would put SIGKDD Explorations in the same group as well, but that really includes very few papers per year (10 or even fewer). So partizipieren Sie von Kursbewegungen im DAX nach Handelsschluss! Companies interested in sponsoring a competition track are encouraged to submit proposals that meet the following requirements: a novel and motivated goal, an interesting challenge and a broad outreach for the data science community, a rigid and fair setup, a challenging yet manageable task, and domain accessibility to the general public. CropEnergies steigert Gewinn. Also, as it can be seen by observing these rankings, different measures yield different rankings. Besides, Microsoft offers two metrics for ranking :  the number of citations and the Field Rating. This kind of information should not be used to determine which journal to submit your paper to. Required fields are marked *. I have updated the blog post based on your comments. It shows that some conferences in the field of data mining actually have a higher impact than some journals. The annual ACM SIGKDD Conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share ideas, research results and experiences. I did not know even that the IDA journal published that many papers (>400 according to Microsoft in your tables). And here is the top 20 journals by Field Rating. It depends on how far back the data is included in the scores whether this would still be visible in the numbers above. ?SIGKDD is ACM's Special Interest Group on Knowledge Discovery and Data Mining. ?," which included Qinkai Zheng, Yixiao Fei, Yanhao Li, First place went to Team "aister" that consisted of, First place on the order dispatching task went to Team "Polar Bear," which consisted of, First place on the vehicle repositioning task went to Team "Tlab," which included. The top journals and conferences are more or less the same in each ranking. About ACM SIGKDD: ACM is the premier global professional organization for researchers and professionals dedicated to the advancement of the science and practice of knowledge discovery and data mining. The H5 index measure is described as “the h-index for articles published in the last 5 complete years.

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