A Polygen Model for Developing Heterogeneous Database Systems With Source Tagging Capabilities
نویسنده
چکیده
منابع مشابه
A Polygen Model for Heterogeneous Database Systems: The Source Tagging Perspective
This paper studies heterogeneous database systems from the multiple (poly) source @rrt) perspective. It aims at addressing issues such as “where is the data from” and “which intermediate data sources were used to arrive at that data” issues which are critical to many users in utilizing information composed from multiple sources. Specifically, it presents a polygen model for resolving the Data S...
متن کاملA Source Tagging Theory for Heterogeneous Database Systems
Many important Management Support Systems require seamless access to and integration of multiple heterogeneous database systems. This paper studies heterogeneous database systems from the source perspective. It aims at addressing issues such as the following: (1) Where is the data from? (2) Which intermediate data sources were used to arrive at that data? Specifically, it presents a polygen mod...
متن کاملDeveloping a Model of Heterogeneity in Driver’s Behavior
Intelligent Driver Model (IDM) is a well-known microscopic model of traffic flow within the traffic engineering societies. While it is a powerful technique for modeling traffic flows, the Intelligent Driver Model lacks the potential of accommodating the notion of drivers’ heterogeneous behavior whenever they are on roads. Concerning the above mentioned, this paper takes the lane to recognize th...
متن کاملDeveloping a Standardized Medical Speech Recognition Database for Reconstructive Hand Surgery
Fast and holistic access to the patients’ clinical record is a major requirement of modern medical decision support systems (DSS). While electronic health records (EHRs) have replaced the traditional paper-based records in most healthcare organization, the data entry into these systems remains largely manual. Speech recognition technology promises substitution of the more convenient speech-base...
متن کاملDeveloping a Model Based on Geospatial Information Systems (GIS) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for Providing the Spatial Distribution Map of Landslide Risk. Case Study: Alborz Province
Landslide is one of these natural hazards which causes a great amount of financial and human damage annually allover the world. Accordingly, identification of areas with landslide threat for implementation of preventive measures in order to confront against the instability of hillsides for reduction of potential threats and related risks is very important. In this research a new method for clas...
متن کامل