Expert Systems
Different Firms, Different Ontologies, and No One Best Ontology
IEEE Intelligent Systems
Advances in business process management
Data & Knowledge Engineering - Special issue: Advances in business process management
An Efficient Algorithm for Discovering Frequent Subgraphs
IEEE Transactions on Knowledge and Data Engineering
Discovering Frequent Graph Patterns Using Disjoint Paths
IEEE Transactions on Knowledge and Data Engineering
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Over last few years Data Warehouse (DW) has emerged as the core of the Business Intelligence (BI) infrastructure for many forward-looking organizations. It is often complemented by Business Performance Management (BPM) and workflow management tools for operationalizing of strategic and tactical decisions and tracking progress of activities across the organization. However, till now there is not much support available to the decision-makers to leverage "organizational experience" i.e., the past events, corresponding responses made as well as their respective impacts, to guide him/her in the decision-making process. In this paper a conceptual BI framework, the Reference-Activity-Projection (RAP) is proposed. RAP is designed to support the decision-making process through a systematic access mechanism to organizational experience. RAP uses along with standard BI tools and techniques, the emerging technologies such as complex event processing (CEP), unstructured/semi-structured data mining, social network analysis etc.