1,720,966 research outputs found
Web and Information Security: Workshop Summary
No full text26th International Computer Software and Applications Conference (COMPSAC 2002)
Security and Privacy for Web Databases and Services
Full text linkAbstract. A semantic web can be thought of as a web that is highly intelligent and sophisticated and one needs little or no human intervention to carry out tasks such as scheduling appointments, coordinating activities, searching for complex documents as well as integrating disparate databases and information systems. While much progress has been made toward developing such an intelligent web, there is still a lot to be done. For example, there is little work on security and privacy for the semantic web. However, before we examine security for the semantic web we need to ensure that its key components, such as web databases and services, are secure. This paper will mainly focus on security and privacy issues for web databases and services. Finally, some directions toward developing a secure semantic web will be provided
Mining Approximate Temporal Functional Dependencies Based on Pure Temporal Grouping2013 IEEE 13th International Conference on Data Mining Workshops
No full textFunctional dependencies (FD) model constraints over databases like 'employees with the same role get the same salary'. Some extensions have been introduced to represent temporal constraints: temporal functional dependencies (TFD) represent constraints like 'for any given month, employees with the same role have the same salary, but their salary may change from one month to the next one''; approximate functional dependencies (AFD) hold on most of the facts stored by the database, enabling data to deviate from the defined constraints according to a user-defined percentage like 'employees with the same role generally have the same salary'. By this paper, we merge the concepts of temporal functional dependency and of approximate functional dependency, introducing the concept of approximate temporal functional dependency (ATFD). ATFD can be defined and measured either on temporal granules (e.g., grouping data by day, week, month, year) or on sliding windows (e.g., a fixed-length time interval which moves over the time axis. We also introduce some specific data mining techniques for ATFD s. As a proof of concept, we developed a running prototype, proving the feasibility of our proposal and testing it on a real-world database from the medical domain of psychiatr
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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