Who publishes Statistical Analysis and Data Mining?

Statistical Analysis and Data Mining is published by Wiley.

What is the ISSN of Statistical Analysis and Data Mining?

The ISSN of Statistical Analysis and Data Mining is 1932-1872.

저널 정보

Statistical Analysis and Data Mining

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출판사:

Wiley

ISSN:

1932-1872

조회:

25941

팔로우:

9

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논문 모집

Statistical Analysis and Data Mining is an academic journal published by Wiley. (ISSN 1932-1872).

Statistical Analysis and Data Mining addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets, solutions utilizing innovative data mining algorithms and/or novel statistical approaches, and the objective evaluation of analyses and solutions. Of special interest are articles that describe analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce. The focus of the journal is on papers which satisfy one or more of the following criteria: Solve data analysis problems associated with massive, complex datasets Are application and solution oriented with a focus on solving real problems Describe innovative data mining algorithms or novel statistical approaches Compare and contrast techniques to solve a problem, along with an objective evaluation of the analyses and the solutions The goals of this interdisciplinary journal are to encourage collaborations across disciplines, communication of novel data mining and statistical techniques to both novices and experts involved in the analysis of data from practical problems, and a principled evaluation of analyses and solutions. The 21st Century has become a Century of Data, with most domains striving for useful general models for their mountains of data. Data mining and statistical analysis are amongst the most effective bodies of methodology and technology capable of producing useful general models from massive, complex datasets. Statistical Analysis and Data Mining will be a useful resource to those solving practical problems, at the same time enabling them to benefit from ideas developed in other domains. It will be an international journal, with an interdisciplinary focus, covering areas which are becoming increasingly important, and likely to remain so in the foreseeable future.

최종 수정: Dou Sun (2013-10-03)

CCF	정식 명칭	영향력 지수	출판사	ISSN
	Systems Engineering	1.6	Wiley	1098-1241
C	Networks	1.3	Wiley	1097-0037
	Statistical Methodology		Elsevier	1572-3127
	Information Systems Journal	6.3	Wiley	1350-1917
	Social Network Analysis and Mining	2.8	Springer	1869-5450
C	Computational Intelligence	1.7	Wiley	1467-8640
	International Journal of Communication Systems	1.8	Wiley	1074-5351
	Security and Privacy	2.1	Wiley	2475-6725
	Computer Applications in Engineering Education	2.2	Wiley	1061-3773
	International Journal of Network Management	2.6	Wiley	1055-7148

ICORE	CP-I	약칭	정식 명칭	투고 마감	개최일
C	46.1	JADT	International Conference on Statistical Analysis of Textual Data	2026-01-31	2026-07-08
C	56.7	DATA	International Conference on Data Science, Technology and Applications	2027-03-25	2027-07-19
	38.7	Data'	International Conference on Data Science, E-learning and Information Systems	2019-04-15	2019-12-02
	46.2	SLSP	International Conference on Statistical Language and Speech Processing	2021-07-16	2021-11-22
	42.1	MCSSE	International Conference on Mathematical, Computational and Statistical Sciences and Engineering	2016-10-20	2016-10-30
C	49.7	PSD	Privacy in Statistical Databases	2020-06-01	2020-09-23
	43.2	DMBD'	International Conference on Data Mining and Big Data	2021-07-10	2021-07-23
	44.3	DMBD	International Conference on Data Mining and Big Data	2020-03-19	2020-07-14
	40.7	SMMA	International Symposium on Social Media Mining and Analysis	2018-03-20	2018-06-28
	42.1	DDDMBD	International Conference on Database, Data Warehouse, Data Mining and Big Data	2015-08-25	2015-09-10

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저널 정보

Statistical Analysis and Data Mining

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