Data Mining for Market Segmentation with Market Share Data

2007 ◽  
pp. 149-162
Author(s):  
Illya Mowerman ◽  
Scott Lloyd
Keyword(s):  
Data Mining ◽  
Market Share ◽  
Market Segmentation ◽  
Share Data

Identifying competitors from market share data: a technique and an application

1991 ◽  
Vol 23 (3) ◽  
pp. 525-529 ◽  
Author(s):  
R. Rothschild ◽  
P. Swann ◽  
M. Taghavi
Keyword(s):  
Market Share ◽  
Share Data

Industrial structure of the federal sector: Evidence from bureau market share data

Public Choice ◽  
1993 ◽  
Vol 77 (3) ◽  
pp. 611-627
Author(s):  
Kathleen A. Carroll
Keyword(s):  
Market Share ◽  
Industrial Structure ◽  
Federal Sector ◽  
Share Data

scholarly journals Pertinent Exploration of Privacy Preserving Perturbation Methods

2020 ◽  
Vol 8 (6) ◽  
pp. 1945-1949
Keyword(s):  
Mental Health ◽  
Data Mining ◽  
Data Privacy ◽  
Perturbation Methods ◽  
Privacy Preserving ◽  
Privacy Leakage ◽  
Huge Data ◽  
Medical Sector ◽  
Share Data ◽  
Banking Business

Digital era generates a huge amount of data in many sectors like education, medical, banking, business, marketing, etc. which can be used for research motive, analysis, prediction of trends, statistics, etc. Data mining techniques are useful in finding patterns, trends, and knowledge from such huge data. The data holders are not ready to share data because there are chances of privacy leakage. Sharing of such data immensely helps researchers to obtain knowledge from it, especially medical data. Privacy preserving data mining is one way where researchers will get mine data for gaining knowledge without breaching the privacy. In the medical sector there is a branch called the mental health section, where high confidentiality of data is maintained and is needed. Owners are not ready to share data for research motives. Mental health is nowadays a topic that is most frequently discussed when it comes to research. PPDM allows sharing data with the researcher, where the privacy of data is maintained by using perturbation techniques giving relief to doctors (owner of data). The current paper experiments and analyses different perturbation methods to preserve privacy in data mining

Alternatives to the Traditional Retail Store Audit: A Field Study

1984 ◽  
Vol 48 (1) ◽  
pp. 54-61
Author(s):  
V. Kanti Prasad ◽  
Wayne R. Casper ◽  
Robert J. Schieffer
Keyword(s):  
Field Study ◽  
Market Share ◽  
Product Category ◽  
Retail Store ◽  
Market Data ◽  
Market Shares ◽  
Share Data

A field study was conducted to empirically compare market share data yielded by weekend selldown and store purchases audit methods with those provided by the traditional store audit method, for the beer product category. In one of the two test cities, market shares based on the weekend selldown audit method were statistically different for many major brands from those based on the traditional store audit method. Market share figures computed from the store purchases and traditional store audit methods, however, were statistically comparable in both test cities. The study points to the importance of focusing attention on the conditions under which the traditional store audit method and its economical alternatives may or may not yield comparable market data.

Application of Data Mining in e-Commerce

2014 ◽  
Vol 7 (4) ◽  
pp. 79-91 ◽  
Author(s):  
Mohamed Chajri ◽  
Mohamed Fakir
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Market Share ◽  
Data Mining Techniques ◽  
Commercial Area ◽  
Using Data ◽  
Definition Of ◽  
Source Of Information ◽  
The Web

The web in recent years has been a big trend, which helped make it a source of information and essential in the various fields of research, in particular, the commercial area that represents the e-commerce (electronic commerce). However, the competition in the e-commerce sites is very tight. This has pushed companies to conserve and retain customers rather than seeking to expand its market share by conquering politically. These requirements have introduced the extraction of knowledge from data in e-commerce sites, using data mining techniques. This article will be an introduction to the concept of data mining, a definition of economic concepts related to e-commerce, and the authors' approach to the application of data mining techniques in e-commerce.

Clickstream data mining and market segmentation

2018 ◽  
Author(s):  
Jay Gandhi
Keyword(s):  
Data Mining ◽  
Market Segmentation ◽  
Clickstream Data

Market-share load forecast for generating plant: a data mining approach

2003 ◽  
Author(s):  
Tieyuan Xiang
Keyword(s):  
Data Mining ◽  
Market Share ◽  
Load Forecast ◽  
Data Mining Approach
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