ACM Transactions on Knowledge Discovery from Data
Basic Journal Info
| Country: | United States |
|---|---|
| Journal ISSN: | 15564681 |
| Publisher: | Association for Computing Machinery (ACM) |
| History: | 2007-ongoing |
| Journal Hompage: | Link |
| Note: | You can find more information about getting published on this journal here: https://mc.manuscriptcentral.com/tkdd |
Research Categories
Computer ScienceImpact Factor Ranking
ACM Transactions on Knowledge Discovery from Data
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Scope/Description:
TKDD welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data. Such subjects include, but are not limited to: scalable and effective algorithms for data mining and big data analysis, mining brain networks, mining data streams, mining multi-media data, mining high-dimensional data, mining text, Web, and semi-structured data, mining spatial and temporal data, data mining for community generation, social network analysis, and graph structured data, security and privacy issues in data mining, visual, interactive and online data mining, pre-processing and post-processing for data mining, robust and scalable statistical methods, data mining languages, foundations of data mining, KDD framework and process, and novel applications and infrastructures exploiting data mining technology including massively parallel processing and cloud computing platforms. TKDD encourages papers that explore the above subjects in the context of large distributed networks of computers, parallel or multiprocessing computers, or new data devices. TKDD also encourages papers that describe emerging data mining applications that cannot be satisfied by the current data mining technology.
ACM Transactions on Knowledge Discovery from Data | Journal Impact factor 2023 Trends
Impact Factor Trend 2000 - 2023
Impact Factor
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2022 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.Here you can check the journal performance trends based on last 20 years of data, also check the latest journal citation reports 2023. Also Check H-Index, SCImago journal rank and journal impact factor 2023.
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Impact Factor History
- 2022/2023 Impact Factor 3.6
- 2021 Impact Factor 4.157
- 2020 Impact Factor NA
- 2019 Impact Factor 2.538
- 2018 Impact Factor 3.291
- 2017 Impact Factor 2.533
- 2016 Impact Factor 3.117
- 2015 Impact Factor 2.661
- 2014 Impact Factor 3.116
- 2013 Impact Factor 3.735
- 2012 Impact Factor 4.971
- 2011 Impact Factor 4.511
- 2010 Impact Factor 3.513
- 2009 Impact Factor 4.107
- 2008 Impact Factor 3.583
- 2007 Impact Factor NA
- 2006 Impact Factor NA
- 2005 Impact Factor NA
- 2004 Impact Factor NA
- 2003 Impact Factor NA
- 2002 Impact Factor NA
- 2001 Impact Factor NA
- 2000 Impact Factor NA
Note: impact factor data for reference only
Other Journal Impact Indicator
Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.
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H-Index
The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications
44
ACM Transactions on Knowledge Discovery from Data
SCImago Journal Rank (SJR)
SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly 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.
0.63