Advances in Data Analysis and Classification
期刊基本信息
期刊名称:Advances in Data Analysis and Classification
出版国家或地区:GERMANY
是否OA:No
期刊ISSN:1862-5347
期刊官方网站:http://www.springer.com/statistics/statistical+theory+and+methods/journal/11634
期刊投稿网址:https://www.editorialmanager.com/adac/default.aspx
涉及的研究方向:STATISTICS & PROBABILITY-
出版年份:2007
期刊数据表:
最新中科院JCR分区
|
大类(学科)
小类(学科)
JCR学科排名
数学
STATISTICS & PROBABILITY(统计学和概率) 2区
31/123
|
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最新的影响因子
|
1.603 | |||||||
最新公布的期刊年发文量 |
|
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总被引频次 | 470 | |||||||
特征因子 | 0.002680 |
Advances in Data Analysis and Classification英文简介:
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 many types of data. It publishes articles on such topics as 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 data, and applications of advanced methods in specific domains of practice. Articles illustrate how new domain-specific knowledge can be made available from data by skillful use of data analysis methods. The journal also publishes survey papers that outline, and illuminate the basic ideas and techniques of special approaches.
Advances in Data Analysis and Classification中文简介:
国际期刊《数据分析与分类进展》(ADAC)被设计成一个论坛,为有关从许多类型的数据中提取可知方面的研究和应用的高标准出版物提供了一个论坛。它出版关于诸如分析数据的结构、数量或统计方法等主题的文章;分类、聚类和模式识别方法的研究进展复杂数据建模和大数据集挖掘策略从数据中提取知识的方法,以及高级方法在特定实践领域中的应用。文章说明了如何通过熟练地使用数据分析方法从数据中获得新的特定于领域的知识。该杂志还发表调查论文,概述和阐明特殊方法的基本思想和技术。
历年影响因子
Advances in Data Analysis and Classification在线问答:
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