Behaviormetrika (Запис № 456892)

МАРК-запис
000 -LEADER
fixed length control field 03032nas a22003135i 4500
001 - CONTROL NUMBER
control field 1349-6964
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200203194505.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1349-6964
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 41237
Source of number or code local
210 10 - ABBREVIATED TITLE
Abbreviated title Behaviormetrika
245 10 - TITLE STATEMENT
Title Behaviormetrika
Medium [electronic resource] /
Statement of responsibility, etc edited by Maomi Ueno.
264 #1 -
-- Tokyo :
-- Springer Japan :
-- Imprint: Springer.
300 ## - PHYSICAL DESCRIPTION
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc Behaviormetrika is issued twice a year to provide an international forum for new theoretical and empirical quantitative approaches in data science. When Behaviormetrika was launched in 1974, the journal advocated data science, as an interdisciplinary field that included the use of statistical methods to extract meaningful knowledge from data in its various forms: structured or unstructured. Behaviormetrika is the oldest journal addressing the topic of data science. The first editor-in-chief of Behaviormetrika, Dr. Chikio Hayashi, described data science in this way: “Data science is not only a synthetic concept to unify statistics, data analysis, and their related methods; it also comprises its results. Data science is intended to analyze and understand actual phenomena with ‘data.’ In other words, the aim of data science is to reveal the features or the hidden structure of complicated natural, human, and social phenomena using data from a different perspective from the established or traditional theory and method.”   Behaviormetrika is a fully refereed international journal, which publishes original research papers, notes, and review articles. Subject areas suitable for publication include but are not limited to the following methodologies and fields.  Methodologies Data science Mathematical statistics Survey methodologies Artificial intelligence Information theory Machine learning Knowledge discovery in databases (KDD) Graphical models Computer science Algorithms  Fields Medicine Psychology Education Economics Marketing Social science Sociology Political science Policy science Cognitive science Brain science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistical Theory and Methods.
-- http://scigraph.springernature.com/things/product-market-codes/S11001
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Business, Management, Economics, Finance, Insurance.
-- http://scigraph.springernature.com/things/product-market-codes/S17010
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/S17020
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ueno, Maomi.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed version:
International Standard Serial Number 0385-7417
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://link.springer.com/journal/41237">http://link.springer.com/journal/41237</a>
Public note Hybrid
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type ЕЖурнал

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