Abstract
Classification of enterprise portal systems (EP) based on their features is the topic of this paper. We propose a classification based on cluster analysis which depends on features collected from t ...
Highlights
This paper aspires to classify enterprise portals (EP)
We propose a classification based on cluster analysis which depends on features collected from the internet
Considered a tool for Knowledge Management (KM), EP solutions play an important role in deciding the viability and success of organizations nowadays
Summary
This paper aspires to classify enterprise portals (EP). It outlines and uses Data Mining (DM) techniques to cluster EP solutions, known as Knowledge Management (KM) tools, based on their features and capabilities, in order to help managers acquire or deploy the KM tools to choose the most appropriate tool for their organization. Hazra (2002) outlined a similar set of features but from a different perspective These are: security to ensure access control and protection of organizational information, maintaining access logs to detect any violation or breach of policy, reliability to provide fail-over and crash recovery of mission-critical business processes, high availability to handle user access 24/7, scalability in order to have room for the ever increasing business functions and requirements, keyword search capability to allow navigation and retrieval of information, reporting tools, BI capabilities, friendly graphical user interface to capture the needs of users, customization, personalization to ensure that information is tailored according to preferences of the users, and collaboration to support communities that allow interaction between users and the sharing of information. The problem the paper solves is “how to classify EP based on their features to facilitate technology acquisition decisions?”
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