Designing evolving user profile in e-CRM with dynamic clustering of Web documents

Mahdavi, Iraj; Cho, Namjae; Shirazi, Babak; Sahebjamnia, Navid

doi:10.1016/j.datak.2007.12.003

Cited by 36 publications

(21 citation statements)

References 45 publications

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“…There are certain activity which is necessary to happen in sequence to mine such sequence are important data mining activity known as sequential pattern Mining (SPM), was introduced in (Agrawal & Srikant, 1995;Srikant & Agrawal, 1996). It is useful in various data mining applications, to discover useful customer and market information from the data, such as product recommendation (Lawrence et al, 2001), e-retailing, customer profiling (Hu & Chen, 2008;Mahdavi, Cho, Shirazi, & Sahebjamnia, 2008). Current SPM techniques are mainly differentiate by a priori based (Agrawal & Srikant, 1994) and FP-Growth-based (Han, Pei, & Yin, 2000) techniques.…”

Section: Literature Surveymentioning

confidence: 99%

Efficient constraint-based Sequential Pattern Mining (SPM) algorithm to understand customers’ buying behaviour from time stamp-based sequence dataset

Desai

Ganatra

2015

Cogent Engineering

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Business Strategies are formulated based on an understanding of customer needs. This requires development of a strategy to understand customer behaviour and buying patterns, both current and future. This involves understanding, first how an organization currently understands customer needs and second predicting future trends to drive growth. This article focuses on purchase trend of customer, where timing of purchase is more important than association of item to be purchased, and which can be found out with Sequential Pattern Mining (SPM) methods. Conventional SPM algorithms worked purely on frequency identifying patterns that were more frequent but suffering from challenges like generation of huge number of uninteresting patterns, lack of user's interested patterns, rare item problem, etc. Article attempts a solution through development of a SPM algorithm based on various constraints like Gap, Compactness, Item, Recency, Profitability and Length along with Frequency constraint. Incorporation of six additional constraints is as well to ensure that all patterns are recently active (Recency), active for certain time span (Compactness), profitable and indicative of next timeline for purchase (Length-Item-Gap). The article also attempts to throw light on how proposed

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Section: Literature Surveymentioning

confidence: 99%

Efficient constraint-based Sequential Pattern Mining (SPM) algorithm to understand customers’ buying behaviour from time stamp-based sequence dataset

Desai

Ganatra

2015

Cogent Engineering

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“…The Internet is used to monitor processes on the production floor and reduce geographical distances by allowing products to be manufactured and marketed on globally. Electronic customer relationship management (e-CRM) is a collection of concepts, tools, and processes that allows an enterprise to obtain the maximum value from their e-business investment (Mahdavi, Cho, Shirazi, & Sahebjamnia, 2008). E-CRM helps companies improve the effectiveness of their interaction with customers while at the same enhancing the agility of their manufacturing systems by customizing products, services, and prices (Ko, Kim, Kim, & Woo, 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy group quality function deployment model for e-CRM framework assessment in agile manufacturing

Zandi

Tavana

2011

Computers & Industrial Engineering

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“…따라서 데이터를 바탕으 로 한 고객의 이해를 위해서 고객 데이터의 수집, 전달, 사용 및 통합을 위한 기술적 구현이 요구되며, 이를 통해 고객과의 관 계를 구축한 다음 그 고객을 꾸준히 유지함으로써, 궁극적으 로 재무적 산출로 나타나는 것이다 (Minami and Dawson, 2008). 기존의 많은 고객관계관리 연구는 크게 기술(technology), 비 즈니스 프로세스(business process), 인적 자원(human resource)의 세 가지 영역으로 구분되며, 각 영역의 내용은 다음의 <Table 1>과 같다 (Kim et al, 2010 (Ahearne et al, 2007;Anderson et al, 2007;Berry et al, 2010;Kim et al, 2009;Minami and Dawson, 2008), 금융업 (Haenlein et al, 2007;Kim et al, 2010;Peppard, 2000), 전자상거래 (Chan et al, 2007;Lee and Park, 2009;Mahdavi et al, 2008;Mahdavi et al, 2011), 관광업 (Daghfous and Barkhi, 2009;Guadix et al, 2010;Ozgener and Iraz, 2006 …”

Section: 문헌 연구unclassified

Development of a Prototype Software for a Corporate Customer Relationship Management in the Postal Service

Kim¹,

Choeh²

2012

IE interfaces

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Conventional research on customer relationship management(CRM) in general has focused on the effects of individual customer's satisfaction, retention and profit management. However, corporate customers are more profitable than individual customers because of high volume and frequent transactions between companies. In this article, a prototype for a corporate customer relationship management is developed in the postal service. First, the frequency and amount of customers' usage were examined, and thereby the corporate customer rating scheme was established to provide customized service. Second, five different types of usage patterns were determined using clustering analysis. In addition, we presented the rationales behind the five types of patterns. Third, RFM(recency, frequency, monetary) analysis was performed, and then action plans were developed to increase sales. Finally, the prototype software was developed to automatically perform the above analysis using MS Excel program.

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Designing evolving user profile in e-CRM with dynamic clustering of Web documents

Cited by 36 publications

References 45 publications

Efficient constraint-based Sequential Pattern Mining (SPM) algorithm to understand customers’ buying behaviour from time stamp-based sequence dataset

Efficient constraint-based Sequential Pattern Mining (SPM) algorithm to understand customers’ buying behaviour from time stamp-based sequence dataset

A fuzzy group quality function deployment model for e-CRM framework assessment in agile manufacturing

Development of a Prototype Software for a Corporate Customer Relationship Management in the Postal Service

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