This paper proposes a novel way of automatically developing data warehouse configuration in rule-based CRM systems. Rule-based CRM systems assume that marketing activities are represented as a set of IF-THEN rules. Currently, to provide good quality CRM functionalities, CRM systems seek to combine conventional CRM methodologies with data warehousing technology. A data warehouse can be abstractl...

Information technologies provide not only the ability to collect and register in databases many kinds of signals external to the organization, but also the capacity to use them in different ways at different organizational levels. Database Marketing (DBM) refers to the use of database technology to support marketing activities in order to establish and maintain a profitable interaction with cli...

The increasing availability of customer information is giving many Þrms the ability to reach and customize price and other marketing efforts to the tastes of the individual consumer. This ability is labeled as consumer addressability. Consumer addressability through sophisticated databases is particularly important for direct marketing Þrms, catalog retailers such as L.L Bean and Land’s End, cr...

Frequent sequence mining is one of the main challenges in data mining and especially in large databases, which consist of millions of records. There is a number of different applications where frequent sequence mining is very important: medicine, finance, internet behavioural data, marketing data, etc. Exact frequent sequence mining methods make multiple passes over the database and if the data...

Association rules are one of the most researched areas of data mining and have recently received much attention from the database community. They have proven to be quite useful in the marketing and retail communities as well as other more diverse fields. In this paper we provide an overview of association rule research.

This paper describes a text generation system, XExplainer, which can dynamically produce a description of commodities in Korean from a relational database for homeshopping sites. We focus on how to generate well-written texts through several generation stages in the marketing domain. The generated text was evaluated using several criteria, such as content completeness, structural coherence, con...

The problem of classification has been widely studied in the data mining, machine learning, database, and information retrieval communities with applications in a number of diverse domains, such as target marketing, medical diagnosis, news group filtering, and document organization. In this paper we will provide a survey of a wide variety of text classification

Halal food is a category of or beverage that Muslims may consume according to Islamic law. cuisine must also adhere strict standards sanitation and hygiene, which makes it noted for its cleanliness higher quality. This study utilised systematic review on halal marketing scopus database from 2021-2023. In this research, the keyword used "Halal Food Marketing" in Scopus database. After conducting...

OBJECTIVE To examine tobacco company documents to determine what the companies knew about the impact of cigarette prices on smoking among youth, young adults, and adults, and to evaluate how this understanding affected their pricing and price related marketing strategies. METHODS Data for this study come from tobacco industry documents contained in the Youth and Marketing database created by ...

Privacy is defined as “freedom from unauthorized intrusion”. While privacy has been a sensitive issue before the advent of computers, the concern has been further exacerbated by the fact that the Web makes it easy for data to be automatically collected and added to databases and analyzed by sophisticated data mining tools and personalized marketing services. This study explores the nature of th...