Challenges in Assembling and Managing Environmental Data Sets
نویسندگان
چکیده
منابع مشابه
Project 1 : Combining Environmental Data Sets
1.1 Sorting Code: 2001–STAR–D1; responding to Statistical Research Area 2 1.2 Title: Project 1: Combining Environmental Data Sets 1.3 Investigators: Jennifer A. Hoeting (Principal Investigator, CSU), Richard A. Davis (CSU), F. Jay Breidt (CSU), Robin Reich (CSU), Don L. Stevens, Jr (OSU), and Steven B. Weisberg (SCCWRP). 1.4 Institution: Colorado State University, Oregon State University, and S...
متن کاملManaging Multimodal Data, Metadata and Annotations: Challenges and Solutions
The application of statistical learning to multimodal signal processing requires a significant amount of data for development, training and test. The availability of data often conditions the possibility of an investigation, and can influence its objectives and application domains. The development of innovative multimodal signal processing methods depends not only on raw data recorded from vari...
متن کاملAssembling large, complex environmental metagenomes
The large volumes of sequencing data required to sample complex environments deeply pose new challenges to sequence analysis approaches. De novo metagenomic assembly effectively reduces the total amount of data to be analyzed but requires significant computational resources. We apply two pre-assembly filtering approaches, digital normalization and partitioning , to make large metagenome assembl...
متن کاملChallenges and Opportunities for Managing Data Systems Using Statistical Models
Modern data systems comprise of heterogeneous and distributed components, making them difficult to manage piece-wise, let alone as a whole. Furthermore, the scale, complexity, and growth rate of these systems render any heuristic and rule-based system management approaches insufficient. In response to these challenges, statistics-based techniques for building gray or black box models of system ...
متن کاملManaging Complex Data for Electrical/Electronic Components: Challenges and Requirements
In the automotive domain, innovation is driven by the introduction and continuous improvement of electrical and electronic (E/E) components (e.g. sensors, actuators, and electronic control units). This trend is accompanied by increasing complexity of interdependencies between these E/E components. In addition, external impact factors (e.g. changes of regulations) demand for more sophisticated E...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Eos
سال: 2016
ISSN: 2324-9250
DOI: 10.1029/2018eo044377