Glaucoma is a silent eye disease that steals sight without warning and it is the second leading cause of blindness worldwide. It cannot be cured but it can be controlled. A gene network analysis to understand the cross talk between glaucoma networks of genes could contribute to better understanding and treatment of the disease. In this paper, we extend our previous text mining and network analysis research for extraction of a more comprehensive glaucoma interaction network from PubMed Central articles. After text mining of the PubMed Central literature to extract potential sentences bearing associations between glaucoma genes in the literature, the mined associations are used to construct a glaucoma gene interaction network and a network analysis is applied to understand the building structure of the network. The network analysis reveals a succinct network composed of five distinct clusters associated with seven benchmark glaucoma biomarkers. The knowledge that can be extracted from such a network could provide a useful summative knowledge base to complement other forms of clinical information related to this disease that affects many diagnosed individuals worldwide.

In this paper, we present a complete framework and findings in mining Web usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage mining, including evolving user profiles and external data describing an ontology of the Web content. Even though the Web site under study is part of a nonprofit organization that does not "sell" any products, it was crucial to understand "who" the users were, "what" they looked at, and "how their interests changed with time," all of which are important questions in Customer Relationship Management (CRM). Hence, we present an approach for discovering and tracking evolving user profiles. We also describe how the discovered user profiles can be enriched with explicit information need that is inferred from search queries extracted from Web log data. Profiles are also enriched with other domain-specific information facets that give a panoramic view of the discovered mass usage modes. An objective validation strategy is also used to assess the quality of the mined profiles, in particular their adaptability in the face of evolving user behavior.