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Heterogeneous Network-Based Chronic Disease Progression Mining
Healthcare insurance fraud has caused billions of dollars in losses in public healthcare funds around the world. In particular, healthcare insurance fraud in chronic diseases is especially rampant. Understanding disease progression can help investigators
Chenfei Sun+4 more
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In most, if not all, studies we collect data to obtain information about an area of research in which we have an interest. For example, we might want to know the level of dental caries in our area. In order to discover this we might need to observe a number of different variables, which could include, age, sex, number of teeth, cavities, fillings ...
openaire +3 more sources
WORKING WITH SPATIO-TEMPORAL DATA TYPE [PDF]
Several aspects of spatiotemporal databases have been explored in past decades, ranging from basic data structure to query processing and indexing. But today, operational temporal GIS does not exist.
A. Raza
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Determination of the effects of silage type, silage consumption, birth type and birth weight on fattening final live weight in kıvırcık lambs with mars and bagging mars algorithms [PDF]
Th is study was carried out to determine the eff ect of silage type, silage consumption, birth type (single or twin) and birth weight on live weight at the end of fattening in Kıvırcık lambs.
Ömer ŞENGÜL+2 more
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Design and performance test of USV information management system based on time-series database
[Objectives] In recent years,unmanned surface vehicles(USVs) have developed rapidly and will have wide application prospect. Hence it becomes quite urgent to deal with the massive information management problem on long-endurance USVs.[Methods] According ...
Huang Yi+4 more
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Database systems store data (big data) for various areas dealing with finance (banking, insurance) and are also an essential part of corporate firms.
V. Langraf+4 more
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Efficient Preference Clustering via Random Fourier Features
Approximations based on random Fourier features have recently emerged as an efficient and elegant method for designing large-scale machine learning tasks.
Jingshu Liu, Li Wang, Jinglei Liu
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Spectral Clustering of Mixed-Type Data
Cluster analysis seeks to assign objects with similar characteristics into groups called clusters so that objects within a group are similar to each other and dissimilar to objects in other groups.
Felix Mbuga, Cristina Tortora
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Semiconductor–metal composites are widely used in aerospace and automotive manufacturing, weapon production, and electronic packaging because of their high hardness and strength as well as low coefficient of thermal expansion.
Yue Gao+9 more
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Design of data collection device of mine-used explosion-proof trackless rubber-tyred locomotive
In view of problems of limited data collection and centralized collection mode of traditional explosion-proof trackless rubber-tyred locomotive, a data collection device of mine-used explosion-proof trackless rubber-tyred locomotive was designed ...
YANG Xiaofeng
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