Exploring online consumer shopping type behavior using big data clickstream information (Edition Wissenschaft Apprimus)

Exploring online consumer shopping type behavior using big data clickstream information

(Edition Wissenschaft Apprimus)

Notes on use

Note (General)：: "Lehrstuhl Wirtschaftswissenshaften für Ingenieure und Naturwissenschaftler"--Cover.

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Material Type: 図書
Title: Exploring online consumer shopping type behavior using big data clickstream information
Author/Editor: vorgelegt von Daniel Andreas Schellong.
Series Title: Edition Wissenschaft Apprimus
Author Heading: Schellong, Daniel Andreas.
Publication, Distribution, etc.: [Aachen] : Apprimus (出版)
Publication Date: [2018]
Publication Date (W3CDTF): 2018
Extent: vii, 205 pages
Size: 21 cm.
Degree grantor/type: Rheinisch-Westfälische Technische Hochschule Aachen
Date Granted (W3CDTF): 2018
Degree Type: Dissertation
Place of Publication (Country Code): DE
Text Language Code: eng
Genre/Form Terms: Hochschulschrift.
Content Type: text
Media Type: unmediated
Carrier Type: volume
Subject Heading: Big Data
Electronic Shopping
Marketingforschung
Verbraucherverhalten
Kaufentscheidung
NDLC: DH441
Target Audience: 一般
Note (General): "Lehrstuhl Wirtschaftswissenshaften für Ingenieure und Naturwissenschaftler"--Cover.
Holding library: 国立国会図書館
Call No.: DH441-D1
Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 029874950
http://id.ndl.go.jp/bib/029874950
OCLC No.: 1104911768
https://www.worldcat.org/oclc/1104911768
Cataloging Rule: RDA
Bibliographic Record Category (NDL): 211