Extending ER Model Clustering by Relationship Clustering
نویسندگان
چکیده
The entity relationship approach is a widely accepted method for conceptual database design. However, some problems arise if ER modelling is applied to the design of really large databases concerning whole enterprises. There is, e.g., no way to obtain a general view nor to perceive the global context of a detailed enterprise scheme with hundreds of entity and relationship types. Different approaches use the method of ER model clustering to overcome these problems. Whole sections of the detailed diagram are mapped into so-called entity-clusters, which are presented as (complex) entity types in a higher level ER diagram. All approaches are based on an already existing detailed ER diagram. Based on this, the abstraction layers are built bottom-up. The approach proposed in this paper refines and extends the approaches mentioned above. It also takes into account the Nested Entity Relationship Model in order to refine relationship types. It can be used in a top-down database design process as well as in a bottom-up approach. Furthermore standard diagrams for industry branches can be designed and individually refined for a specific enterprise.
منابع مشابه
New Approach for Customer Clustering by Integrating the LRFM Model and Fuzzy Inference System
This study aimed at providing a systematic method to analyze the characteristics of customers’ purchasing behavior in order to improve the performance of customer relationship management system. For this purpose, the improved model of LRFM (including Length, Recency, Frequency, and Monetary indices) was utilized which is now a more common model than the basic RFM model apt for analyzing the cus...
متن کاملAn Automated Forecasting Tool (AFT) achieved by clustering Entity Relationship Model
Entity–relationship (ER) modeling is basically a technique of creating model before the detail database is formed. One the ERM or Entity Relationship Diagram (ERD) is complete and correct then it is feasible to convert into database design directly. The database design will also be complete and correct, as it is based on verified ERM and ERD. To increase the usability and understandability of E...
متن کاملFinding Community Base on Web Graph Clustering
Search Pointers organize the main part of the application on the Internet. However, because of Information management hardware, high volume of data and word similarities in different fields the most answers to the user s’ questions aren`t correct. So the web graph clustering and cluster placement in corresponding answers helps user to achieve his or her intended results. Community (web communit...
متن کاملAn automated entity-relationship clustering algorithm for conceptual database design
Entity–relationship (ER) modeling is a widely accepted technique for conceptual database design. However, the complexities inherent in large ER diagrams have restricted the effectiveness of their use in practice. It is often difficult for end-users, or even for well-trained database engineers and designers, to fully understand and properly manage large ER diagrams. Hence, to improve their under...
متن کاملCustomer behavior mining based on RFM model to improve the customer relationship management
Companies’ managers are very enthusiastic to extract the hidden and valuable knowledge from their organization data. Data mining is a new and well-known technique, which can be implemented on customers data and discover the hidden knowledge and information from customers' behaviors. Organizations use data mining to improve their customer relationship management processes. In this paper R, F, an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1993