Clients behavior analysis of securities company based on the web-log data mining

Yahong Li; Jian Li; Kegang Hao

doi:10.1109/ICMSS.2011.5999197

Clients behavior analysis of securities company based on the web-log data mining

Yahong Li^*, Jian Li, Kegang Hao

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Customer Relationship Management (CRM) is a developing direction for China Security Company in the future. Relative to abroad developed countries Securities Company, our China securities Company still is in a low level for the clients behavior observation. In this paper, author introduces the data mining technology into Security Company customer behaviors information management processes. Meanwhile, through construct the clients behavior model and data mining processing to refine some high value customers behavior character information, thus, to offer accurate data supports for the company Policy-makers. Also, a real case is analyzed in this article, having a very strong reference meaning in fact.

Original language	English
Title of host publication	International Conference on Management and Service Science, MASS 2011
DOIs	https://doi.org/10.1109/ICMSS.2011.5999197
Publication status	Published - 2011
Event	International Conference on Management and Service Science, MASS 2011 - Wuhan, China Duration: 12 Aug 2011 → 14 Aug 2011

Publication series

Name	International Conference on Management and Service Science, MASS 2011

Conference

Conference	International Conference on Management and Service Science, MASS 2011
Country/Territory	China
City	Wuhan
Period	12/08/11 → 14/08/11

Keywords

CRM
Client behavior analysis
Data mining
Mining pattern
Web-log data

Access to Document

10.1109/ICMSS.2011.5999197

Cite this

@inproceedings{589c6c6b285045cf9ea954970e3391c7,

title = "Clients behavior analysis of securities company based on the web-log data mining",

abstract = "Customer Relationship Management (CRM) is a developing direction for China Security Company in the future. Relative to abroad developed countries Securities Company, our China securities Company still is in a low level for the clients behavior observation. In this paper, author introduces the data mining technology into Security Company customer behaviors information management processes. Meanwhile, through construct the clients behavior model and data mining processing to refine some high value customers behavior character information, thus, to offer accurate data supports for the company Policy-makers. Also, a real case is analyzed in this article, having a very strong reference meaning in fact.",

keywords = "CRM, Client behavior analysis, Data mining, Mining pattern, Web-log data",

author = "Yahong Li and Jian Li and Kegang Hao",

year = "2011",

doi = "10.1109/ICMSS.2011.5999197",

language = "English",

isbn = "9781424465811",

series = "International Conference on Management and Service Science, MASS 2011",

booktitle = "International Conference on Management and Service Science, MASS 2011",

note = "International Conference on Management and Service Science, MASS 2011 ; Conference date: 12-08-2011 Through 14-08-2011",

}

Li, Y, Li, J & Hao, K 2011, Clients behavior analysis of securities company based on the web-log data mining. in International Conference on Management and Service Science, MASS 2011., 5999197, International Conference on Management and Service Science, MASS 2011, International Conference on Management and Service Science, MASS 2011, Wuhan, China, 12/08/11. https://doi.org/10.1109/ICMSS.2011.5999197

Clients behavior analysis of securities company based on the web-log data mining. / Li, Yahong; Li, Jian; Hao, Kegang.
International Conference on Management and Service Science, MASS 2011. 2011. 5999197 (International Conference on Management and Service Science, MASS 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Clients behavior analysis of securities company based on the web-log data mining

AU - Li, Yahong

AU - Li, Jian

AU - Hao, Kegang

PY - 2011

Y1 - 2011

N2 - Customer Relationship Management (CRM) is a developing direction for China Security Company in the future. Relative to abroad developed countries Securities Company, our China securities Company still is in a low level for the clients behavior observation. In this paper, author introduces the data mining technology into Security Company customer behaviors information management processes. Meanwhile, through construct the clients behavior model and data mining processing to refine some high value customers behavior character information, thus, to offer accurate data supports for the company Policy-makers. Also, a real case is analyzed in this article, having a very strong reference meaning in fact.

AB - Customer Relationship Management (CRM) is a developing direction for China Security Company in the future. Relative to abroad developed countries Securities Company, our China securities Company still is in a low level for the clients behavior observation. In this paper, author introduces the data mining technology into Security Company customer behaviors information management processes. Meanwhile, through construct the clients behavior model and data mining processing to refine some high value customers behavior character information, thus, to offer accurate data supports for the company Policy-makers. Also, a real case is analyzed in this article, having a very strong reference meaning in fact.

KW - CRM

KW - Client behavior analysis

KW - Data mining

KW - Mining pattern

KW - Web-log data

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U2 - 10.1109/ICMSS.2011.5999197

DO - 10.1109/ICMSS.2011.5999197

M3 - Conference contribution

AN - SCOPUS:80052872868

SN - 9781424465811

T3 - International Conference on Management and Service Science, MASS 2011

BT - International Conference on Management and Service Science, MASS 2011

T2 - International Conference on Management and Service Science, MASS 2011

Y2 - 12 August 2011 through 14 August 2011

ER -

Clients behavior analysis of securities company based on the web-log data mining

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Conference

Keywords

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