Personalizing mobile user subscription services using data mining
نویسندگان
چکیده
Mobile companies today offer diversity of user subscription services to their subscribers in order to attract their attention. In order subscribers effectively to use that service they have to choose appropriate subscription service package. Choosing the appropriate subscription service is not always simple decision, using the knowledge discovery process can help customers to make the right choice. We suggest applying different data mining techniques to already aggregated user traffic from different types of services, stored in the data warehouse system. With the extraction of the useful information we can provide offers to subscribers that will be optimal with their used services (voice, SMS, MMS and Internet). Personalization of the user subscription services will contribute to more objective and transparent process of billing the subscribers.
منابع مشابه
High Fuzzy Utility Based Frequent Patterns Mining Approach for Mobile Web Services Sequences
Nowadays high fuzzy utility based pattern mining is an emerging topic in data mining. It refers to discover all patterns having a high utility meeting a user-specified minimum high utility threshold. It comprises extracting patterns which are highly accessed in mobile web service sequences. Different from the traditional fuzzy approach, high fuzzy utility mining considers not only counts of mob...
متن کاملAn Agent Enabled System for Personalizing Wireless Mobile Services
Handheld wireless devices such as cellular phones and personal digital assistants (PDAs) have limited memory, storage, and processing power. In addition, small screens and limited input facilities make entering information tedious. It is therefore important that wireless mobile applications optimize resource usage and minimize input effort imposed on the user. One way is to download to the clie...
متن کاملWeb Personalization Using Clustering of Web Usage Data
The exponential growth in the number and the complexity of information resources and services on the Web has made log data an indispensable resource to characterize the users for Web-based environment. It creates information of related web data in the form of hierarchy structure through approximation. This hierarchy structure can be used as the input for a variety of data mining tasks such as c...
متن کاملA New Ontology-Based Approach for Human Activity Recognition from GPS Data
Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these kinds of data across different application domains is required in order to identify the activities that users might need to do in different places. Researche...
متن کاملLocation-aware Agent using Data mining in the Distributed Location-based Services
Location awareness becomes more interests and topics of research. Adding this function to location-based services provides necessary information to user within the location to be aware of the user’s location. But not all LBS could provide the necessary information that interests the user. In this research we propose a location-aware agent that interacts with the LBS and providing location aware...
متن کامل