2021年最新SCI期刊影响因子查询系统
Advances in Data Analysis and Classification 期刊详细信息
基本信息
期刊名称 | Advances in Data Analysis and Classification Advances in Data Analysis and Classification |
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期刊ISSN | 1862-5347 |
期刊官方网站 | https://www.springer.com/journal/11634 |
是否OA | 否 |
出版商 | Springer Verlag |
出版周期 | |
始发年份 | 2007 |
年文章数 | 39 |
最新影响因子 | 1.944(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
---|---|---|---|
工程技术3区 | STATISTICS & PROBABILITY 统计学与概率论2区 | 否 | 否 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 1.76 | 1.020 | 1.222 |
Mathematics Applied Mathematics |
133 / 460 | 71% |
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Computer Science Computer Science Applications |
256 / 569 | 55% |
补充信息
自引率 | 3.90% |
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H-index | 17 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1862-5347%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.springer.com/journal/11634/submission-guidelines |
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收稿范围 | The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from whatever types of data. It publishes articles on topics as, e.g., Structural, quantitative, or statistical approaches for the analysis of data, Advances in classification, clustering, and pattern recognition methods, Strategies for modeling complex data and mining large data sets, Methods for the extraction of knowledge from whatever type of data, and Applications of advanced methods in specific domains of practice. In particular, this comprises the consideration and handling of new data types as well as the analysis of complex structures such as text data and webfiles. Whereas the discussion of theoretical, statistical, or algorithmic advances in methodology is a major issue (e.g., in classification and clustering), the journal encourages strongly the publication of applications that illustrate how new domain-specific knowledge can be made available from data by skillful use of data analysis methods. In addition to contributed papers on specific topics, the journal also publishes survey papers that outline, and illuminate, the basic ideas and techniques of special approaches. On occasion, specialized topics will be presented in a special issue. The journal is supported by several scientific societies which aim to foster the area of classification and data analysis. Supported by the International Federation of Classification Societies Funded by the Italian, German, and Japanese Classification Societies (CLADAG, GfKl, JCS) Officially cited as: Adv Data Anal Classif |
收录体裁 | |
投稿指南 | https://www.springer.com/journal/11634/submission-guidelines |
投稿模板 | |
参考文献格式 | |
编辑信息 |