Advances In Data Analysis And Classification

Advances In Data Analysis And Classification英文簡介

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中文簡介

《Advances In Data Analysis And Classification》是一本由SPRINGER HEIDELBERG出版商出版的專業(yè)工程技術(shù)期刊，該刊創(chuàng)刊于2007年，刊期4 issues per year，該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄。在中科院最新升級版分區(qū)表中，該刊分區(qū)信息為大類學(xué)科：工程技術(shù) 4區(qū)，小類學(xué)科：統(tǒng)計學(xué)與概率論 3區(qū)；在JCR（Journal Citation Reports）分區(qū)等級為Q2。該刊發(fā)文范圍涵蓋統(tǒng)計學(xué)與概率論等領(lǐng)域，旨在及時、準(zhǔn)確、全面地報道國內(nèi)外統(tǒng)計學(xué)與概率論工作者在該領(lǐng)域取得的最新研究成果、工作進(jìn)展及學(xué)術(shù)動態(tài)、技術(shù)革新等，促進(jìn)學(xué)術(shù)交流，鼓勵學(xué)術(shù)創(chuàng)新。2021年影響因子為1.944，平均審稿速度>12周，或約稿。

中科院分區(qū)最新升級版（當(dāng)前數(shù)據(jù)版本：2021年12月最新升級版）

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)	Top期刊	綜述期刊
計算機科學(xué)	4區(qū)	STATISTICS & PROBABILITY 統(tǒng)計學(xué)與概率論	3區(qū)	否	否

JCR分區(qū)（當(dāng)前數(shù)據(jù)版本：2021-2022年最新版）

JCR分區(qū)等級	JCR所屬學(xué)科	分區(qū)	影響因子
Q2	STATISTICS & PROBABILITY	Q2	1.944

期刊指數(shù)

影響因子	h-index	Gold OA文章占比	研究類文章占比	OA開放訪問	平均審稿速度
1.944	23	29.61%	100.00%	未開放	>12周，或約稿

IF值(影響因子)趨勢圖