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The DEEM workshop will be held in conjunction with SIGMOD/PODS 2017. DEEM brings together researchers and practitioners at the intersection of applied machine learning, data management and systems res...
Data properties and hardware characteristics are two key aspects for efficient data management. A clear trend in the first aspect, data properties, is the increasing demand to manage and process Big ...
The objective of this one-day workshop is to bring researchers and practitioners together in order to investigate opportunities in exploiting virtualized active (compute-enabled) technologies such as ...
Health data originate from a wide variety of heterogeneous data sources which include medical literature, Electronic Medical Records (EMRs), medical imaging data, time series data from ICU/in-hosp...
The deployment of extreme scale computing platforms in research and industry coupled with the proliferation of large and distributed digital data sources have the potential for unprecedented insights ...
Big Data Management is of relevant interest at now, and it can be considered as one of the most emerging research topics we deal with. In particular, the management of Big Data in distributed settings...
Recently different types 3D data of many cultural heritage are collected, however, how to store and manage these data problem. This paper presents a new solution regarding cultural 3D information fine...
This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domain-specific perspective ...
To rescue peoples in the disaster site in time, information acquisition of current feature of collapsed buildings and terrain is quite important for disaster site rescue manager. Based on information ...
The term Big Data has been recently used to define big, highly varied, complex data sets, which are created and updated at a high speed and require faster processing, namely, a reduced time to filter ...
With more surveying practice and deeper application, data post-process for airborne LiDAR system has been extracted lots of attention in data accuracy, post-process, fusion, modeling, automation and v...
This paper presents an approach to realizing LiDAR data management in DBMS. We use octree to partition data space, and build a local KD tree at each octree’s node. In data organization, we take precis...
The town of Racconigi is located in the north west of Italy, about thirty kilometers south of Turin. The Royal Park and Castle are part of the so-called system of “corone di delizie” (crowns of delig...
Recently, a location based system(or middleware) is usually based on the distributed architecture to manage a large-volume of location data efficiently and supports a variety of spatio-temporal querie...
Pharmaceutical research/development and quality control laboratories are faced with prodigious amounts of data from a multitude of heterogeneous data sources in a compliant manner, as mandated by requ...

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